A system for optimizing a network of power plants includes at least one memory storing a network model of a network of power plants and at least one processor. The network model includes a first power plant model of a first power plant including equipment models of power plant equipment of the first power plant, a second power plant model of a second power plant including equipment models of power plant equipment of the second power plant, and a plant relationship between the first power plant and the second power plant. The at least one processor is configured to receive a first input including an augmentation and replacement schedule for the second power plant, receive a second input modifying an attribute of a first equipment model of the first power plant model, and modify the schedule for the second power plant based on the second input and the plant relationship.
H02J 13/00 - Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the networkCircuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
A system for determining power flows in a power plant comprising an energy storage system (ESS) and a power generation system includes at least one memory storing a power plant model of the power plant and at least one processor. The power plant model includes an ESS model including a battery model, a power generation system model, a power price schedule for first and second loads configured to receive power from the power plant, and system relationships between the models. The at least one processor is configured to receive a power demand schedule representing expected power demands from the first load and the second load and determine, based on the power demand schedule, the power price schedule, and the system relationships, a power flow rate forecast for at least one point in the power plant.
A system for controlling power distribution between a renewable energy source (RES) that generates electrical power, a power grid, an energy storage system (ESS) coupled to and configured to store electrical power from the RES and the power grid, and a behind-the-meter (BTM) load coupled to and configured to receive electrical power from the RES, the ESS, and the power grid includes a controller. The controller includes a processor and a non-transitory computer readable storage medium comprising instructions stored thereon that, upon execution by the processor, cause the controller to determine a prioritization mode and control the flow of electrical power in the system based on the prioritization mode.
H02J 3/32 - Arrangements for balancing the load in a network by storage of energy using batteries with converting means
G05B 13/04 - Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
H02J 3/00 - Circuit arrangements for ac mains or ac distribution networks
H02J 7/00 - Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
4.
Systems and methods for flexible renewable energy power generation
The present disclosure provides systems and methods for flexible renewable energy power generation. The present disclosure also provides systems and methods for firming power generation from multiple renewable energy sources.
A system includes a renewable energy source (RES) that provides electrical energy and a first energy storage system (ESS) coupled to and configured to receive electrical energy from the RES, wherein the first ESS is configured to direct electrical energy to a source-sensitive destination. The system further includes a second ESS coupled to and configured to receive electrical energy from the RES and coupled to and configured to receive electrical energy from a non-renewable energy source to receive electrical energy, wherein the second ESS is configured to direct electrical energy to a non-source-sensitive destination.
An REPP may include a renewable energy source (RES), a first meter associated with a first load, a second meter associated with a second load, a first ESS electrically coupled to the RES and the first meter, a second ESS electrically coupled to the RES and the first meter through a switch, and a controller configured to set a first charge/discharge for the first ESS and a second charge/discharge for the second ESS such that the REPP delivers power to the first load longer than the RES produces power, in response to a trigger condition, actuate the switch such that the second ESS is electrically coupled to the second meter, and set a fourth charge/discharge for the second ESS such that the second ESS maintains a portion of its charge in reserve for the second load.
An REPP (100) may include a renewable energy source RES (135), a first meter (120) associated with a first load (130), a second meter (150) associated with a second load (155), a first ESS (110) electrically coupled to the RES and the first meter, a second ESS (165) electrically coupled to the RES and the first meter through a switch, and a controller (105) configured to set a first charge/discharge for the first ESS and a second charge/discharge for the second ESS such that the REPP delivers power to the first load longer than the RES produces power, in response to a trigger condition, actuate the switch such that the second ESS is electrically coupled to the second meter, and set a fourth charge/discharge for the second ESS such that the second ESS maintains a portion of its charge in reserve for the second load.
A system for optimizing a network of power plants includes at least one memory storing a network model of a network of power plants including a power plant model for each power plant, each power plant model including one or more equipment models of power plant equipment of a power plant, and plant relationships between the power plant models. The system further includes at least one processor configured to modify an attribute of a first equipment model included in a first power plant model of a first power plant, identify at least one plant relationship between the first power plant model and a second power plant model of a second power plant, determine an expected change in operation of the second power plant based on the modified attribute and the at least one plant relationship, and generate a record including an indication of the expected change.
H02J 13/00 - Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the networkCircuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
A system for determining power flows in a power plant including an energy storage system (ESS) including an energy storage device and a power generation system comprising a power source includes at least one memory storing a power plant model. The power plant model includes an ESS model including an energy storage device model, a power generation system model, a load model of a load configured to receive power from the power plant, and system relationships between the ESS model, the power generation system model, and the load model. The system further includes at least one processor configured to receive input parameters for the load, determine a power flow rate at a point in the power plant or an energy storage level of the energy storage device at a first time step, and generate a record comprising an indication of the power flow rate or energy storage level.
The present disclosure describes a system that includes a behind-the-meter load, a switching system, and a controller. The controller can be configured to receive, from the REPP controller of each of the plurality of REPPs, energy data regarding available energy of the REPP; determine first energy data received from a first REPP controller of a first REPP of the plurality of REPPs satisfies a condition; and responsive to the determination, adjust a switching position of the switching system to a first switching position to enable the first REPP to provide energy to the behind-the-meter load.
A counter-solar power plant may include a controller configured to execute instructions stored in a memory, the instructions including operations to receive data associated with power outputs of a plurality of legacy solar-only resources (LSORs), determine an estimated power output of the plurality of LSORs based on the received data, obtain a target power delivery profile of the plurality of LSORs, the target power delivery profile including a plurality of target power outputs, determine an output of a CSPP renewable energy system (RES) and a charge/discharge of a CSPP energy storage system (ESS) such that a combined output of the CSPP and the estimated power output of the plurality of LSORs satisfies at least one of the plurality of target power outputs of the target power delivery profile, and control the CSPP RES and CSPP ESS according to the determined CSPP RES output and CSPP ESS charge/discharge.
H02J 3/46 - Controlling the sharing of output between the generators, converters, or transformers
H02J 3/32 - Arrangements for balancing the load in a network by storage of energy using batteries with converting means
H02J 3/38 - Arrangements for parallelly feeding a single network by two or more generators, converters or transformers
H02J 13/00 - Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the networkCircuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
H02J 3/00 - Circuit arrangements for ac mains or ac distribution networks
12.
SOLAR POWER PLANT COMPRISING AN ENERGY STORAGE SYSTEM
A counter-solar power plant may include a controller configured to execute instructions stored in a memory, the instructions including operations to recei ve data associated with power outputs of a plurality of legacy solar-only resources (LSORs), determine an estimated power output of the plurality' of LSORs based on the received data, obtain a target power delivery profile of the plurality of LSORs, the target power delivery profile including a plurality of target power outputs, determine an output of a CSPP renewable energy system (RES) and a charge/discharge of a CSPP energy storage system (ESS) such that a combined output of the CSPP and the estimated power output of the plurality' of LSORs satisfies at least one of the plurality of target power outputs of the target povrer delivery profile, and control the CSPP RES and CSPP ESS according to the determined CSPP RES output and CSPP ESS charge/discharge.
H02J 3/00 - Circuit arrangements for ac mains or ac distribution networks
H02J 3/38 - Arrangements for parallelly feeding a single network by two or more generators, converters or transformers
H02J 13/00 - Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the networkCircuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
H02J 3/32 - Arrangements for balancing the load in a network by storage of energy using batteries with converting means
13.
SYSTEMS AND METHODS FOR OFFSETTING NO LOAD ENERGY LOSSES OF A BATTERY ENERGY STORAGE SYSTEM
The present disclosure provides systems and methods for offsetting parasitic energy losses of a battery energy storage system (BESS). A method may include determining, by one or more processors of a renewable energy power plant coupled to an energy grid, a condition is satisfied, and responsive to the determination, adjusting, by the one or more processors, a state of a switch from a first state configured to couple a second BESS with a renewable energy source (RES) to a second state configured to couple the second BESS with the BESS. The RES configured to charge the T-BESS when the switch is in the first state and the T-BESS configured to send energy to the devices to satisfy energy requirements of the devices when the switch is in the second state.
H02J 3/32 - Arrangements for balancing the load in a network by storage of energy using batteries with converting means
H02J 3/38 - Arrangements for parallelly feeding a single network by two or more generators, converters or transformers
H02J 13/00 - Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the networkCircuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
An add-on renewable power plant (ARPP) may include a renewable energy source (RES) connected to a legacy renewable power plant (LRPP) interconnection infrastructure, where an output capacity of the RES is sized based on an LRPP transmission capacity and an LRPP power output profile, and an energy storage system (ESS) connected to the LRPP interconnection infrastructure, where a storage capacity of the ESS is sized based on the LRPP transmission capacity and the LRPP power output profile. The ARPP may also include a controller configured to control an ARPP output by controlling an RES output and an ESS charge/discharge such that a variability of an ARPP-LRPP combined power output has a lower variability than a variability of an LRPP output and control the ARPP output such that the ARPP-LRPP combined power output does not exceed a transmission capacity of the LRPP interconnection infrastructure.
The present disclosure provides systems and methods for offsetting parasitic energy losses of a battery energy storage system (BESS). A method may include determining, by one or more processors of a renewable energy power plant coupled to an energy grid, a condition is satisfied; and responsive to the determination, adjusting, by the one or more processors, a state of a switch from a first state configured to couple a second BESS with a renewable energy source (RES) to a second state configured to couple the second BESS with the BESS. The RES configured to charge the T-BESS when the switch is in the first state and the T-BESS configured to send energy to the devices to satisfy energy requirements of the devices when the switch is in the second state.
An illustrative embodiment disclosed herein is method for power distribution optimization. In some embodiments, the method includes determining an efficiency for each power block of a plurality of power blocks of a power distribution optimization system, determining a characteristic for each power block, determining a power to provide, selecting a first percentage of the power that a first power block is to provide and a second percentage of the power that a second power block is to provide at least based on the efficiency for each power block, the characteristic for each power block, and the power to provide, wherein the first percentage of the power is greater than the second percentage of the power, and sending a dispatch command to cause the first power block to provide the first percentage of the power and the second power block to provide the second percentage of the power.
The present disclosure provides systems and methods for managing a temperature of a battery energy storage system ("BESS"). A method may comprise obtaining a charge/ discharge schedule for a battery energy storage system (BESS) for a first time period; identifying, from the charge/ discharge schedule, a charge or discharge time period of the BESS within the first time period; calculating a beginning time of a temperature control time period in which equipment operates to control a temperature of the BESS to reach a target temperature by a beginning time of the charge or discharge time period; and controlling the equipment operating to control the temperature of the BESS for the temperature control time period such that the temperature of the BESS reaches the target temperature by the beginning time of the charge or discharge time period.
An add-on renewable power plant (ARPP) may include a renewable energy source (RES) connected to a legacy renewable power plant (LRPP) interconnection infrastructure, where an output capacity of the RES is sized based on an LRPP transmission capacity and an LRPP power output profile, and an energy storage system (ESS) connected to the LRPP interconnection infrastructure, where a storage capacity of the ESS is sized based on the LRPP transmission capacity and the LRPP power output profile. The ARPP may also include a controller configured to control an ARPP output by controlling an RES output and an ESS charge/discharge such that a variability of an ARPP-LRPP combined power output has a lower variability than a variability of an LRPP output and control the ARPP output such that the ARPP-LRPP combined power output does not exceed a transmission capacity of the LRPP interconnection infrastructure.
A system includes a first renewable energy source (RES) configured to provide electrical energy, a first circuit including a first energy storage system (ESS) and a point of interconnection (POI) coupled to a power grid, a second circuit including a second ESS and a source-sensitive destination, and a first switch configured to selectively connect one of the first circuit or the second circuit to the first RES.
A solar power system including a first solar module group comprising one or more first solar modules; a second solar module group comprising one or more second solar modules; a first inverter coupled with the first solar module group and the second solar module group; a second inverter coupled with the first solar module group and the second solar module group; and a controller comprising a processor coupled with memory. The processor (i) operates the first inverter and the second inverter in a first control position in which the first inverter draws energy from the first solar module group and the second inverter draws energy from the second solar module, and, when a combined output of the first solar module group and the second solar module group is below a threshold percentage of a maximum output of the first inverter or the second inverter, (ii) operates the first inverter and the second inverter in a second control position in which the first inverter draws energy from the first solar module group and the second module group.
The present disclosure describes a system that includes an energy source, a switching system, and a controller. The controller can be configured to receive, from a first REPP controller operating within a first REPP, an indication of an event at the first REPP; and responsive to receipt of the indication, adjust a switching position of the switching system to a first switching position to enable the energy source to provide energy to the first REPP and not any other REPP of the plurality of REPPs.
A method for implementing power delivery of an integrated renewable energy source and energy storage system (RES−ESS) facility includes a renewable energy source (RES) and an energy storage system (ESS). The method comprises obtaining a first control rule configured to be used to control power distribution in the RES−ESS facility for a time slot, wherein the power distribution includes directing power from a renewable energy source (RES) to an electric grid and to an energy storage system (ESS) and power from the ESS to the electric grid; receiving a second control rule configured to be used to control the power distribution in the RES−ESS facility, wherein the second control rule was used to control the power distribution in the RES−ESS facility for the time slot; determining a difference in performance of the RES−ESS facility; and transmitting a record comprising an identification of the difference in performance.
H02S 10/20 - Systems characterised by their energy storage means
H02J 3/00 - Circuit arrangements for ac mains or ac distribution networks
H02S 40/38 - Energy storage means, e.g. batteries, structurally associated with PV modules
G06Q 10/04 - Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
H02S 50/00 - Monitoring or testing of PV systems, e.g. load balancing or fault identification
H02J 3/32 - Arrangements for balancing the load in a network by storage of energy using batteries with converting means
G05B 19/042 - Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
H02J 3/38 - Arrangements for parallelly feeding a single network by two or more generators, converters or transformers
G05B 13/02 - Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
G05B 19/04 - Programme control other than numerical control, i.e. in sequence controllers or logic controllers
A method may include obtaining irradiance data at a first time and a second time from sensors, determining whether one or more solar modules of a plurality of networked power plants will be covered by a shadow or shade at a third time based on the irradiance data, and generating, based on the determination, a power output prediction for each power plant of the networked power plants at the third time. The method may further include receiving power delivery profiles for first and second loads, adjusting a power output of one or more power plants of the networked power plants based at least in part on the power output prediction and the power delivery profiles for the first and second loads, and allocating a combined power output of the power plants to the first and second loads based on first and second load reliability thresholds.
The present disclosure provides systems and methods for optimizing loading of battery inverters. A system may include a plurality of inverters configured to output power to a load; a switching system connected to the plurality of inverters; a plurality of energy storage units selectively coupled to the plurality of energy storage units by the switching system; and a controller. The controller can be configured to determine a required power for the load; determine a number of the plurality of inverters to provide the required power; determine a switching position for the switching system based on the determined number of the plurality of inverters, the switching position corresponding to power delivery by a set of the plurality of inverters; and send a control signal to the switching system to connect one or more of the plurality of energy storage units with the set of the plurality of inverters.
The present disclosure provides systems and methods for providing power from an energy storage system (ESS). A method may include, for each of a plurality of energy storage units, calculating a length of time to complete discharge for the energy storage unit according to a rated power capacity of the energy storage unit and an amount of stored energy in the energy storage unit; determining a discharge control protocol for the plurality of energy storage units based on the calculated lengths of time to complete discharge, the discharge control protocol indicating a period of time to discharge power to an energy grid and an amount of power to discharge to the energy grid during the period of time; and discharging the plurality of energy storage units to the energy grid according to the discharge control protocol.
A counter-solar power plant may include a controller configured to execute instructions stored in a memory, the instructions including operations to receive data associated with power outputs of a plurality of legacy solar-only resources (LSORs), determine an estimated power output of the plurality of LSORs based on the received data, obtain a target power delivery profile of the plurality of LSORs, the target power delivery profile including a plurality of target power outputs, determine an output of a CSPP renewable energy system (RES) and a charge/discharge of a CSPP energy storage system (ESS) such that a combined output of the CSPP and the estimated power output of the plurality of LSORs satisfies at least one of the plurality of target power outputs of the target power delivery profile, and control the CSPP RES and CSPP ESS according to the determined CSPP RES output and CSPP ESS charge/discharge.
The present disclosure provides systems and methods for offsetting parasitic energy losses of a battery energy storage system (BESS). A method may include determining, by one or more processors of a renewable energy power plant coupled to an energy grid, a condition is satisfied; and responsive to the determination, adjusting, by the one or more processors, a state of a switch from a first state configured to couple a second BESS with a renewable energy source (RES) to a second state configured to couple the second BESS with the BESS. The RES configured to charge the T-BESS when the switch is in the first state and the T-BESS configured to send energy to the devices to satisfy energy requirements of the devices when the switch is in the second state.
A non-transitory computer readable storage medium in an energy control system includes instructions stored thereon that, upon execution by a processor, cause the processor to receive a request for station power from a requesting power plant of a plurality of power plants, determine a burden score associated with supplying the station power to the requesting power plant from two or more supplier power plants of the plurality of power plants, allocate available power from the supplier power plant having the lowest burden score to the requesting power plant, and provide a notification to an operator of the supplier power plant having the lowest burden score. The notification indicating the amount of power expected to be supplied to the requesting power plant.
A method may include measuring, by a processor from a load energy meter, energy provided to an energy grid or from the energy grid or a renewable energy source (RES) to a renewable energy power plant; determining, by the processor based on the measuring, a battery energy storage system is not providing enough energy to satisfy energy requirements of a device operating in the renewable energy power plant; identifying, by the processor based on the measuring, an amount of energy that is needed to satisfy the energy requirements of the device in combination with energy provided by a battery energy storage system to the device; and directing, by the processor, the identified amount of energy from the RES to the device.
The present disclosure provides systems and methods for managing a temperature of a battery energy storage system (“BESS”). A method may comprise obtaining a charge/discharge schedule for a battery energy storage system (BESS) for a first time period; identifying, from the charge/discharge schedule, a charge or discharge time period of the BESS within the first time period; calculating a beginning time of a temperature control time period in which equipment operates to control a temperature of the BESS to reach a target temperature by a beginning time of the charge or discharge time period; and controlling the equipment operating to control the temperature of the BESS for the temperature control time period such that the temperature of the BESS reaches the target temperature by the beginning time of the charge or discharge time period.
A system for controlling power distribution between a renewable energy source (RES) that generates electrical power, a power grid, an energy storage system (ESS) coupled to and configured to store electrical power from the RES and the power grid, and a behind-the-meter (BTM) load coupled to and configured to receive electrical power from the RES, the ESS, and the power grid includes a controller. The controller includes a processor and a non-transitory computer readable storage medium comprising instructions stored thereon that, upon execution by the processor, cause the controller to determine a prioritization mode and control the flow of electrical power in the system based on the prioritization mode.
G05B 13/04 - Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
H02J 3/32 - Arrangements for balancing the load in a network by storage of energy using batteries with converting means
H02J 7/00 - Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
H02J 3/00 - Circuit arrangements for ac mains or ac distribution networks
32.
Behind the meter flow control to separate renewable energy
A system includes a first renewable energy source (RES) configured to provide electrical energy; a first circuit comprising a first energy storage system (ESS) and a point of interconnection (POI) coupled to a power grid; a second circuit comprising a second ESS and a source-sensitive destination; and a first switch configured to selectively connect one of the first circuit or the second circuit to the first RES.
The present disclosure provides systems and methods for optimizing loading of battery inverters. A method may include determining a required power for a load, the load coupled to a plurality of inverters, the plurality of inverters coupled to a plurality of energy storage units in an energy storage system (ESS); determining a number of the plurality of energy storage units in the ESS needed to provide the required power; establishing a schedule for the determined number of the plurality of energy storage units, wherein the schedule includes a plurality of time periods for power delivery; and sending a first control signal to engage a first grouping of energy storage units for a first time period and a second control signal to engage a second grouping of energy storage units for a second time period of the plurality of time periods.
H02J 7/00 - Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
H02J 7/14 - Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries for charging batteries from dynamo-electric generators driven at varying speed, e.g. on vehicle
H01M 10/42 - Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
34.
Systems and methods for optimizing loading of solar inverters
The present disclosure provides systems and methods for optimizing loading of solar inverters. A system may include a first solar module group, a second solar module group, a first inverter, a second inverter, and a switching system. The switching system can be configured to connect the first and second solar module groups in (i) a first position in which the first solar module group outputs energy to the first inverter and the second solar module group outputs energy to the second inverter, and, when a combined output of the first solar module group and the second solar module group is below a threshold percentage of a maximum output of the first inverter or the second inverter, (ii) a second position in which the first solar module group and the second solar module group output energy to the first inverter.
The present disclosure provides systems and methods for optimizing loading of battery inverters. A system may include a plurality of inverters configured to output power to a load; a switching system connected to the plurality of inverters; a plurality of energy storage units selectively coupled to the plurality of energy storage units by the switching system; and a controller. The controller can be configured to determine a required power for the load; determine a number of the plurality of inverters to provide the required power; determine a switching position for the switching system based on the determined number of the plurality of inverters, the switching position corresponding to power delivery by a set of the plurality of inverters; and send a control signal to the switching system to connect one or more of the plurality of energy storage units with the set of the plurality of inverters.
A counter-solar power plant may include a controller configured to execute instructions stored in a memory, the instructions including operations to receive data associated with power outputs of a plurality of legacy solar-only resources (LSORs), determine an estimated power output of the plurality of LSORs based on the received data, obtain a target power delivery profile of the plurality of LSORs, the target power delivery profile including a plurality of target power outputs, determine an output of a CSPP renewable energy system (RES) and a charge/discharge of a CSPP energy storage system (ESS) such that a combined output of the CSPP and the estimated power output of the plurality of LSORs satisfies at least one of the plurality of target power outputs of the target power delivery profile, and control the CSPP RES and CSPP ESS according to the determined CSPP RES output and CSPP ESS charge/discharge.
A method of adjusting energy delivered by a renewable energy system to an electrical grid and an energy-consuming load is disclosed. The method may comprise determining a production schedule of a renewable energy system (RES) and establishing a prioritization order between the electrical grid and the energy-consuming load. The method may further comprise setting a power receiving threshold for the electrical grid or the energy-consuming load based on the prioritization order, and adjusting the energy delivered by the RES by controlling a first amount of energy delivered to the electrical grid and a second amount of energy delivered to the energy-consuming load. A variability schedule of at least one of the first amount of energy or the second amount of energy can be amplified or dampened over a time period relative to the natural variability energy production schedule of the RES.
A method for delivering power to a grid. The method may include receiving a prediction of power generation for a renewable energy source (RES), receiving power level requirements of the grid, and receiving length of power delivery requirements of the grid. The method may further include determining a power delivery limit based on the prediction of power generation, the power level requirements, and the length of power delivery requirements. The method may further include delivering power to the grid according to the power delivery limit from the RES and an energy storage system (ESS) electrically coupled to the RES.
A method of adjusting energy delivered by a renewable energy system to an electrical grid and an energy-consuming load is disclosed. The method may comprise determining a production schedule of a renewable energy system (RES) and establishing a prioritization order between the electrical grid and the energy-consuming load. The method may further comprise setting a power receiving threshold for the electrical grid or the energy-consuming load based on the prioritization order, and adjusting the energy delivered by the RES by controlling a first amount of energy delivered to the electrical grid and a second amount of energy delivered to the energy-consuming load. A variability schedule of at least one of the first amount of energy or the second amount of energy can be amplified or dampened over a time period relative to the natural variability energy production schedule of the RES.
H02J 3/14 - Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
H02J 3/38 - Arrangements for parallelly feeding a single network by two or more generators, converters or transformers
40.
Coordinated control of renewable electric generation resource and charge storage device
A method includes generating a time-varying charge/discharge control signal for an electrical storage device, wherein generating the time-varying charge/discharge control signal comprises identifying a prioritization order of a stack of simultaneously operating control modes, the stack of simultaneously operating control modes including a staging mode and at least two additional control modes, each control mode of the stack comprising a plurality of control signal candidate values; identifying an intersection of one or more control signal candidate values from the plurality of control signal candidate values of each control mode of the stack according to the prioritization order; and determining, based on the prioritization order, at least one time-varying charge/discharge control signal for the electrical energy storage device from the intersection of control signal candidate values.
A method includes obtaining a state of charge (SOC) schedule for an energy storage device and a time-dependent forecast of electrical energy production by a renewable electrical energy generation resource; generating a time-varying charge/discharge control signal for the electrical energy storage device based on the time-dependent forecast of electrical energy production, wherein the time-varying charge/discharge control signal is configured to maintain an average SOC of the energy storage device as low as possible while satisfying the SOC schedule; and controlling charging and discharging of the energy storage device with the time-varying charge/discharge control signal.
H02J 7/00 - Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
H02J 3/32 - Arrangements for balancing the load in a network by storage of energy using batteries with converting means
H02J 3/38 - Arrangements for parallelly feeding a single network by two or more generators, converters or transformers
42.
Method for implementing power delivery transaction for potential electrical output of integrated renewable energy source and energy storage system facility
Methods for implementing power delivery transactions between a buyer and a seller of electrical energy supplied to an electrical grid by an integrated renewable energy source (RES) and energy storage system (ESS) of a RES-ESS facility are provided. Estimated total potential output of the RES is compared to a point of grid interconnect (POGI) limit to identify potential RES overgeneration, and the buyer is charged if potential RES overgeneration is less than potential overgeneration during one or more retrospective time windows. The method provides a basis for the RES-ESS facility owner to be paid for an estimated amount of energy that did not get stored as a result of a grid operator not fully discharging an ESS prior to the start of a new day.
H02J 3/00 - Circuit arrangements for ac mains or ac distribution networks
H02S 10/20 - Systems characterised by their energy storage means
H02S 40/38 - Energy storage means, e.g. batteries, structurally associated with PV modules
G06Q 10/04 - Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
H02S 50/00 - Monitoring or testing of PV systems, e.g. load balancing or fault identification
H02J 3/32 - Arrangements for balancing the load in a network by storage of energy using batteries with converting means
G05B 19/042 - Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
H02J 3/38 - Arrangements for parallelly feeding a single network by two or more generators, converters or transformers
G05B 13/02 - Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
G05B 19/04 - Programme control other than numerical control, i.e. in sequence controllers or logic controllers
43.
Methods and systems for automatic generation control of renewable energy resources
The present disclosure provides systems and methods for an operation of an electric power plant comprising a renewable energy resource and an energy storage device. The method may comprise determining, at a first time, a forecast of predicted energy production by the electric power plant over a time period subsequent to the first time based on a forecast for the time period; detecting a current state of charge of the energy storage device; calculating a range of automatic generation controls the electric power plant is capable of satisfying for the time period based on the forecast of predicted energy production and the detected current state of charge of the energy storage device; and signaling, from the electric power plant to a central utility controlling a power grid, the range of automatic generation controls the electric power plant is capable of satisfying for the time period.
The present disclosure describes a method of operating a power plant, comprising: obtaining an energy production forecast for a forecast period; generating a plurality of simulation results associated with simulated operation of the power plant for the forecast period, wherein the plurality of simulation results are generated by simulating operation of the power plant using a plurality of control algorithms; assigning a score to each of the plurality of control algorithms based on the generated plurality of simulation results; selecting a control algorithm from the plurality of control algorithms for the forecast period based on the assigned score for the control algorithm; and operating the power plant in accordance with the control algorithm for a duration of the forecast period.
The present disclosure provides systems and methods for serving two or more uncorrelated loads connected to a renewable energy powerplant. The uncorrelated loads comprise a power grid and one or more industrial processes. A system may comprise a renewable energy system (RES), an energy storage system (ESS), and a controller programmed to: discretize an upcoming forecast horizon into a plurality of time periods; calculate one or more metrics for sending energy generated by the first RES to: (1) the ESS, (2) the power grid, and (3) the one or more industrial processes; prioritize the: (1) ESS, (2) power grid, and (3) one or more industrial processes.
H02J 3/00 - Circuit arrangements for ac mains or ac distribution networks
H02J 3/14 - Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
H02J 3/32 - Arrangements for balancing the load in a network by storage of energy using batteries with converting means
H02J 3/38 - Arrangements for parallelly feeding a single network by two or more generators, converters or transformers
46.
Systems and methods for renewable powerplant serving multiple loads
The present disclosure provides systems and methods for serving two or more uncorrelated loads connected to a renewable energy powerplant. The uncorrelated loads comprise a power grid and one or more industrial processes. A system may comprise a renewable energy system (RES), an energy storage system (ESS), and a controller programmed to: discretize an upcoming forecast horizon into a plurality of time periods; calculate one or more metrics for sending energy generated by the first RES to: (1) the ESS, (2) the power grid, and (3) the one or more industrial processes; prioritize the: (1) ESS, (2) power grid, and (3) one or more industrial processes.
The present disclosure describes a method of operating a power plant, comprising: obtaining an energy production forecast for a forecast period; generating a plurality of simulation results associated with simulated operation of the power plant for the forecast period, wherein the plurality of simulation results are generated by simulating operation of the power plant using a plurality of control algorithms; assigning a score to each of the plurality of control algorithms based on the generated plurality of simulation results; selecting a control algorithm from the plurality of control algorithms for the forecast period based on the assigned score for the control algorithm; and operating the power plant in accordance with the control algorithm for a duration of the forecast period.
The present disclosure provides systems and methods for managing a temperature of a battery energy storage system (“BESS”). A method may comprise identifying operating temperature limitations of the BESS; obtaining a forecast horizon comprising a forecast of external environmental conditions for a time period; identifying a charging/discharging schedule of the BESS; simulating operation of the BESS for the time period for each of a plurality of sequences of thermal management modes according to the charging/discharging schedule and the forecast horizon, the simulating generating an energy consumption and an operating temperature forecast of for each of the plurality of sequences of thermal management modes; selecting a sequence of thermal management modes of the plurality of sequences; and operating the equipment according to the selected sequence of thermal management modes.
G05D 16/20 - Control of fluid pressure characterised by the use of electric means
B05B 7/04 - Spray pistolsApparatus for discharge with arrangements for mixing liquids or other fluent materials before discharge
B05B 7/16 - Spraying apparatus for discharge of liquids or other fluent materials from two or more sources, e.g. of liquid and air, of powder and gas incorporating means for heating the material to be sprayed
G05D 23/19 - Control of temperature characterised by the use of electric means
B05B 12/00 - Arrangements for controlling deliveryArrangements for controlling the spray area
G05B 15/02 - Systems controlled by a computer electric
H04Q 9/00 - Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom
G01K 1/024 - Means for indicating or recording specially adapted for thermometers for remote indication
G01K 1/02 - Means for indicating or recording specially adapted for thermometers
G01K 13/02 - Thermometers specially adapted for specific purposes for measuring temperature of moving fluids or granular materials capable of flow
G01L 15/00 - Devices or apparatus for measuring two or more fluid pressure values simultaneously
G01L 19/00 - Details of, or accessories for, apparatus for measuring steady or quasi-steady pressure of a fluent medium insofar as such details or accessories are not special to particular types of pressure gauges
G01L 19/08 - Means for indicating or recording, e.g. for remote indication
H02J 7/00 - Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
G01R 31/36 - Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
G01R 31/367 - Software therefor, e.g. for battery testing using modelling or look-up tables
H01M 10/60 - Heating or coolingTemperature control
H05K 7/20 - Modifications to facilitate cooling, ventilating, or heating
An REPP may include a renewable energy source (RES), a first meter associated with a first load, a second meter associated with a second load, a first ESS electrically coupled to the RES and the first meter, a second ESS electrically coupled to the RES and the first meter through a switch, and a controller configured to set a first charge/discharge for the first ESS and a second charge/discharge for the second ESS such that the REPP delivers power to the first load longer than the RES produces power, in response to a trigger condition, actuate the switch such that the second ESS is electrically coupled to the second meter, and set a fourth charge/discharge for the second ESS such that the second ESS maintains a portion of its charge in reserve for the second load.
An illustrative embodiment disclosed herein is method for power distribution optimization. In some embodiments, the method includes determining an efficiency for each power block of a plurality of power blocks of a power distribution optimization system, determining a characteristic for each power block, determining a power to provide, selecting a first percentage of the power that a first power block is to provide and a second percentage of the power that a second power block is to provide at least based on the efficiency for each power block, the characteristic for each power block, and the power to provide, wherein the first percentage of the power is greater than the second percentage of the power, and sending a dispatch command to cause the first power block to provide the first percentage of the power and the second power block to provide the second percentage of the power.
H02J 3/14 - Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
H02J 3/00 - Circuit arrangements for ac mains or ac distribution networks
51.
METHODS AND SYSTEMS FOR AUTOMATIC GENERATION CONTROL OF RENEWABLE ENERGY RESOURCES
The present disclosure provides systems and methods for an operation of an electric power plant comprising a renewable energy resource and an energy storage device. The method may comprise determining, at a first time, a forecast of predicted energy production by the electric power plant over a time period subsequent to the first time based on a forecast for the time period; detecting a current state of charge of the energy storage device; calculating a range of automatic generation controls the electric power plant is capable of satisfying for the time period based on the forecast of predicted energy production and the detected current state of charge of the energy storage device; and signaling, from the electric power plant to a central utility controlling a power grid, the range of automatic generation controls the electric power plant is capable of satisfying for the time period.
H02J 3/28 - Arrangements for balancing the load in a network by storage of energy
H02J 3/00 - Circuit arrangements for ac mains or ac distribution networks
H02J 3/38 - Arrangements for parallelly feeding a single network by two or more generators, converters or transformers
H02J 13/00 - Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the networkCircuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
52.
Pre-cooling a battery energy storage system for charging or discharging
The present disclosure provides systems and methods for managing a temperature of a battery energy storage system (“BESS”). A method may comprise obtaining a charge/discharge schedule for a battery energy storage system (BESS) for a first time period; identifying, from the charge/discharge schedule, a charge or discharge time period of the BESS within the first time period; calculating a beginning time of a temperature control time period in which equipment operates to control a temperature of the BESS to reach a target temperature by a beginning time of the charge or discharge time period; and controlling the equipment operating to control the temperature of the BESS for the temperature control time period such that the temperature of the BESS reaches the target temperature by the beginning time of the charge or discharge time period.
The present disclosure provides systems and methods for managing a temperature of a battery energy storage system ("BESS"). A method may comprise identifying operating temperature limitations of the BESS; obtaining a forecast horizon comprising a forecast of external environmental conditions for a time period; identifying a charging/ discharging schedule of the BESS; simulating operation of the BESS for the time period for each of a plurality of sequences of thermal management modes according to the charging/ discharging schedule and the forecast horizon, the simulating generating an energy consumption and an operating temperature forecast of for each of the plurality of sequences of thermal management modes; selecting a sequence of thermal management modes of the plurality of sequences; and operating the equipment according to the selected sequence of thermal management modes.
H01M 10/48 - Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte
H01M 10/633 - Control systems characterised by algorithms, flow charts, software details or the like
H01M 10/635 - Control systems based on ambient temperature
H01M 10/627 - Stationary installations, e.g. power plant buffering or backup power supplies
54.
Consistent power delivery via stretch power delivery mode
A method for delivering power to a grid. The method may include receiving a prediction of power generation for a renewable energy source (RES), receiving length of power delivery requirements of the grid, determining a stretch mode limit based on the prediction of power generation and the length of power delivery requirements such that a period of time during which the RES and an ESS can deliver power to the grid is extended to satisfy the length of power delivery requirements, wherein the stretch mode limit comprises a limit on power delivered to the grid, and delivering power to the grid according to the stretch mode limit from the RES and an energy storage system (ESS) electrically coupled to the RES, wherein the combined output of the RES and the ESS is limited by the stretch mode limit.
The present disclosure provides systems and methods for an operation of an electric power plant comprising a renewable energy resource and an energy storage device. The method may comprise determining, at a first time, a forecast of predicted energy production by the electric power plant over a time period subsequent to the first time based on a forecast for the time period; detecting a current state of charge of the energy storage device; calculating a range of automatic generation controls the electric power plant is capable of satisfying for the time period based on the forecast of predicted energy production and the detected current state of charge of the energy storage device; and signaling, from the electric power plant to a central utility controlling a power grid, the range of automatic generation controls the electric power plant is capable of satisfying for the time period.
The present disclosure provides systems and methods for managing a temperature of a battery energy storage system (“BESS”). A method may comprise identifying operating temperature limitations of the BESS; obtaining a forecast horizon comprising a forecast of external environmental conditions for a time period; identifying a charging/discharging schedule of the BESS; simulating operation of the BESS for the time period for each of a plurality of sequences of thermal management modes according to the charging/discharging schedule and the forecast horizon, the simulating generating an energy consumption and an operating temperature forecast of for each of the plurality of sequences of thermal management modes; selecting a sequence of thermal management modes of the plurality of sequences; and operating the equipment according to the selected sequence of thermal management modes.
H02J 7/00 - Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
G01R 31/36 - Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
G01R 31/367 - Software therefor, e.g. for battery testing using modelling or look-up tables
H01M 10/60 - Heating or coolingTemperature control
H05K 7/20 - Modifications to facilitate cooling, ventilating, or heating
A method may include determining a position and movement of a shadow on a plurality of solar modules of a solar power plant using an analysis of irradiance data from sensors disposed proximate the plurality of solar modules. The method may include predicting future power output for the plurality of solar panels based on the movement of the shadow over the plurality of solar modules and modifying a power output of the solar power plant based on the predicted future power output.
H02S 50/00 - Monitoring or testing of PV systems, e.g. load balancing or fault identification
H02J 3/38 - Arrangements for parallelly feeding a single network by two or more generators, converters or transformers
H02J 3/00 - Circuit arrangements for ac mains or ac distribution networks
H02J 13/00 - Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the networkCircuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
58.
SYSTEMS AND METHODS FOR FLEXIBLE RENEWABLE ENERGY POWER GENERATION
The present disclosure provides systems and methods for flexible renewable energy power generation. The present disclosure also provides systems and methods for firming power generation from multiple renewable energy sources.
The present disclosure provides systems and methods for flexible renewable energy power generation. The present disclosure also provides systems and methods for firming power generation from multiple renewable energy sources.
The present disclosure provides systems and methods for flexible renewable energy power generation. The present disclosure also provides systems and methods for firming power generation from multiple renewable energy sources.
The present disclosure provides systems and methods for managing a temperature of a battery energy storage system (“BESS”). A method may comprise obtaining a charge/discharge schedule for a battery energy storage system (BESS) for a first time period; identifying, from the charge/discharge schedule, a charge or discharge time period of the BESS within the first time period; calculating a beginning time of a temperature control time period in which equipment operates to control a temperature of the BESS to reach a target temperature by a beginning time of the charge or discharge time period; and controlling the equipment operating to control the temperature of the BESS for the temperature control time period such that the temperature of the BESS reaches the target temperature by the beginning time of the charge or discharge time period.
An illustrative embodiment disclosed herein is method for power distribution optimization. In some embodiments, the method includes determining an efficiency for each power block of a plurality of power blocks of a power distribution optimization system, determining a characteristic for each power block, determining a power to provide, selecting a first percentage of the power that a first power block is to provide and a second percentage of the power that a second power block is to provide at least based on the efficiency for each power block, the characteristic for each power block, and the power to provide, wherein the first percentage of the power is greater than the second percentage of the power, and sending a dispatch command to cause the first power block to provide the first percentage of the power and the second power block to provide the second percentage of the power.
H02J 3/14 - Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
H02J 3/00 - Circuit arrangements for ac mains or ac distribution networks
63.
Systems and methods for improved bifacial solar modeling
The present disclosure provides systems and methods for improved bifacial solar modeling. A method may comprise measuring an albedo of a surface on which an array of bifacial solar modules is disposed and setting an albedo parameter of a bifacial gain model. The method may further comprise measuring a backside irradiance of the array and setting a backside irradiance parameter. The method may further comprise setting a shed transparency parameter using the measured backside irradiance and a geometric model of the array. The method may further comprise setting a rear shading parameter using a shading model of the array. The method may further comprise computing an expected bifacial gain of the array. The method may further comprise determining an actual bifacial gain of the array. The method may further comprise setting a rear mismatch parameter to minimize a loss function of the expected bifacial gain and the actual bifacial gain.
A method for delivering power to a grid. The method may include receiving a prediction of power generation for a renewable energy source (RES), receiving power level requirements of the grid, and receiving length of power delivery requirements of the grid. The method may further include determining a power delivery limit based on the prediction of power generation, the power level requirements, and the length of power delivery requirements. The method may further include delivering power to the grid according to the power delivery limit from the RES and an energy storage system (ESS) electrically coupled to the RES.
The present disclosure provides a method for controlling a solar power plant comprising a plurality of solar modules. The method may comprise (a) obtaining irradiance data at a first time and a second time from a plurality of sensors disposed among or adjacent to the plurality of solar modules; (b) processing the irradiance data at the first time and the second time to generate an output that indicates whether one or more solar modules of the plurality of solar modules will be covered by a shadow or shade at a third time; (c) generating, based at least in part on the output, a power output prediction for the plurality of solar modules at the third time; and (d) adjusting a power output of the solar power plant based at least in part on the power output prediction.
H02J 50/00 - Circuit arrangements or systems for wireless supply or distribution of electric power
H02J 3/38 - Arrangements for parallelly feeding a single network by two or more generators, converters or transformers
H02J 3/00 - Circuit arrangements for ac mains or ac distribution networks
H02S 50/00 - Monitoring or testing of PV systems, e.g. load balancing or fault identification
H02J 13/00 - Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the networkCircuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
66.
Methods and systems for automatic generation control of renewable energy resources
The present disclosure provides systems and methods for an operation of an electric power plant comprising a renewable energy resource and an energy storage device. The method may comprise determining, at a first time, a forecast of predicted energy production by the electric power plant over a time period subsequent to the first time based on a forecast for the time period; detecting a current state of charge of the energy storage device; calculating a range of automatic generation controls the electric power plant is capable of satisfying for the time period based on the forecast of predicted energy production and the detected current state of charge of the energy storage device; and signaling, from the electric power plant to a central utility controlling a power grid, the range of automatic generation controls the electric power plant is capable of satisfying for the time period.
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Utility services, namely, storage of electrical power and electrical energy; distribution of electrical power Electrical power generation Scientific and technological services, namely, research, development, and design in the field of electrical power generation and electrical energy storage infrastructure and systems; plant engineering services in the field of electrical power generation and electrical energy storage infrastructure and systems; technical consultation and advisory services in the field of the design and operation of electrical power generation and electrical energy storage infrastructure and systems; electrical engineering services
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Utility services, namely, storage of electrical power and electrical energy; distribution of electrical power Electrical power generation Scientific and technological services, namely, research, development, and design in the field of electrical power generation and electrical energy storage infrastructure and systems; plant engineering services in the field of electrical power generation and electrical energy storage infrastructure and systems; technical consultation and advisory services in the field of the design and operation of electrical power generation and electrical energy storage infrastructure and systems; electrical engineering services
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Utility services, namely, storage of electrical power and electrical energy; distribution of electrical power Electrical power generation Scientific and technological services, namely, research, development, and design in the field of electrical power generation and electrical energy storage infrastructure and systems; plant engineering services in the field of electrical power generation and electrical energy storage infrastructure and systems; technical consultation and advisory services in the field of the design and operation of electrical power generation and electrical energy storage infrastructure and systems; electrical engineering services
39 - Transport, packaging, storage and travel services
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42 - Scientific, technological and industrial services, research and design
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Utility services, namely, storage of electrical power and electrical energy; distribution of electrical power Electrical power generation Scientific and technological services, namely, research, development, and design in the field of electrical power generation and electrical energy storage infrastructure and systems; plant engineering services in the field of electrical power generation and electrical energy storage infrastructure and systems; technical consultation and advisory services in the field of the design and operation of electrical power generation and electrical energy storage infrastructure and systems; electrical engineering services
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Goods & Services
Electrical power generation Utility services, namely, storage of electrical power and electrical energy; distribution of electrical power Scientific and technological services, namely, research, development, and design in the field of electrical power generation and electrical energy storage infrastructure and systems; plant engineering services in the field of electrical power generation and electrical energy storage infrastructure and systems; technical consultation and advisory services in the field of the design and operation of electrical power generation and electrical energy storage infrastructure and systems; electrical engineering services
72.
Method for implementing power delivery transaction for potential electrical output of integrated renewable energy source and energy storage system facility
Methods for implementing power delivery transactions between a buyer and a seller of electrical energy supplied to an electrical grid by an integrated renewable energy source (RES) and energy storage system (ESS) of a RES-ESS facility are provided. Estimated total potential output of the RES is compared to a point of grid interconnect (POGI) limit to identify potential RES overgeneration, and the buyer is charged if potential RES overgeneration is less than potential overgeneration during one or more retrospective time windows. The method provides a basis for the RES-ESS facility owner to be paid for an estimated amount of energy that did not get stored as a result of a grid operator not fully discharging an ESS prior to the start of a new day.
H02J 3/00 - Circuit arrangements for ac mains or ac distribution networks
H02S 10/20 - Systems characterised by their energy storage means
H02S 40/38 - Energy storage means, e.g. batteries, structurally associated with PV modules
G06Q 10/04 - Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
H02S 50/00 - Monitoring or testing of PV systems, e.g. load balancing or fault identification
H02J 3/32 - Arrangements for balancing the load in a network by storage of energy using batteries with converting means
G05B 19/042 - Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
H02J 3/38 - Arrangements for parallelly feeding a single network by two or more generators, converters or transformers
G05B 13/02 - Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
G05B 19/04 - Programme control other than numerical control, i.e. in sequence controllers or logic controllers
73.
Method for controlling integrated renewable electric generation resource and charge storage system providing desired capacity factor
Methods for controlling an integrated renewable energy source (RES) and energy storage system (ESS) of a RES-ESS facility having a point of grid interconnect (POGI) limit are provided. A forecast for energy production of the RES as well as a state of charge (SOC) schedule are used to calculate a SOC target-based POGI cap that is less than the POGI limit, with the SOC target-based POGI cap representing as low a peak power output value as possible while still ensuring satisfaction of the SOC schedule. The forecasted RES production, SOC schedule, and SOC target-based POGI cap are used to generate a time-varying charge/discharge control signal for the ESS that ensures the SOC schedule is satisfied.
H02J 3/00 - Circuit arrangements for ac mains or ac distribution networks
G05B 19/042 - Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
G06Q 10/04 - Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
H02J 3/32 - Arrangements for balancing the load in a network by storage of energy using batteries with converting means
H02J 3/38 - Arrangements for parallelly feeding a single network by two or more generators, converters or transformers
H02S 10/20 - Systems characterised by their energy storage means
H02S 40/38 - Energy storage means, e.g. batteries, structurally associated with PV modules
H02S 50/00 - Monitoring or testing of PV systems, e.g. load balancing or fault identification
G05B 13/02 - Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
G05B 19/04 - Programme control other than numerical control, i.e. in sequence controllers or logic controllers
74.
Systems and methods utilizing AC overbuilt renewable electric generation resource and charge storage device providing desired capacity factor
An integrated renewable energy source (RES) and energy storage system (ESS) facility configured to supply power to an AC electrical grid includes energy storage system capacity and inverter capacity that are larger than a point of grid interconnect (POGI) limit for the facility, enabling high capacity factors and production profiles that match a desired load. At least one first DC-AC power inverter is associated with RES, and at least one second AC-DC power inverter is associated with the ESS. AC-DC conversion is used when charging the ESS with RES AC electric power, and DC-AC conversion utility is used when discharging ESS AC electric power to the electric grid. Aggregate DC-AC inverter utility exceeds the facility POGI limit, and excess RES AC electric power may be diverted to the second inverter(s).
H02J 3/00 - Circuit arrangements for ac mains or ac distribution networks
H02S 10/20 - Systems characterised by their energy storage means
H02S 40/38 - Energy storage means, e.g. batteries, structurally associated with PV modules
G06Q 10/04 - Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
H02J 3/32 - Arrangements for balancing the load in a network by storage of energy using batteries with converting means
G05B 13/02 - Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
G05B 19/04 - Programme control other than numerical control, i.e. in sequence controllers or logic controllers
H02S 50/00 - Monitoring or testing of PV systems, e.g. load balancing or fault identification
G05B 19/042 - Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
H02J 3/38 - Arrangements for parallelly feeding a single network by two or more generators, converters or transformers
75.
SYSTEMS AND METHODS UTILIZING AC OVERBUILT RENEWABLE ELECTRIC GENERATION RESOURCE AND CHARGE STORAGE DEVICE
An integrated renewable energy source (RES) and energy storage system (ESS) facility configured to supply power to an AC electric grid includes energy storage system capacity and inverter capacity that are larger than a point of grid interconnect (POGI) limit for the facility, enabling high capacity factors and production profiles that match a desired load. At least one first DC-AC power inverter is associated with RES, and at least one second AC-DC power inverter is associated with the ESS. AC-DC conversion is used when charging the ESS with RES AC electric power, and DC-AC conversion utility is used when discharging ESS AC electric power to the electric grid. Aggregate DC-AC inverter utility exceeds the facility POGI limit, and excess RES AC electric power may be diverted to the second inverter(s).
Methods for controlling an integrated renewable energy source (RES) and energy storage system (ESS) of a RES-ESS facility having a point of grid interconnect (POGI) limit are provided. A forecast for energy production of the RES as well as a state of charge (SOC) schedule are used to calculate a SOC target-based POGI cap that is less than the POGI limit, with the SOC target-based POGI cap representing as low a peak power output value as possible while still ensuring satisfaction of the SOC schedule. The forecasted RES production, SOC schedule, and SOC target-based POGI cap are used to generate a time-varying charge/discharge control signal for the ESS that ensures the SOC schedule is satisfied.
H02J 1/12 - Parallel operation of dc generators with converters, e.g. with mercury-arc rectifier
H02J 7/00 - Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
77.
METHOD FOR IMPLEMENTING POWER DELIVERY TRANSACTION FOR POTENTIAL ELECTRICAL OUTPUT OF INTEGRATED RENEWABLE ENERGY SOURCE AND ENERGY STORAGE SYSTEM FACILITY
Methods for implementing power delivery transactions between a buyer and a seller of electrical energy supplied to an electric grid by an integrated renewable energy source (RES) and energy storage system (ESS) of a RES-ESS facility are provided. Estimated total potential output of the RES is compared to a point of grid interconnect (POGI) limit to identify potential RES overgeneration, and the buyer is charged if potential RES overgeneration is less than potential overgeneration during one or more retrospective time windows. The method provides a basis for the RES-ESS facility owner to be paid for an estimated amount of energy that did not get stored as a result of a grid operator not fully discharging an ESS prior to the start of a new day.
G05B 15/02 - Systems controlled by a computer electric
H02J 3/14 - Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
H02J 3/28 - Arrangements for balancing the load in a network by storage of energy
H02J 3/38 - Arrangements for parallelly feeding a single network by two or more generators, converters or transformers
H02J 13/00 - Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the networkCircuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
78.
Systems and methods for flexible renewable energy power generation
The present disclosure provides systems and methods for flexible renewable energy power generation. The present disclosure also provides systems and methods for firming power generation from multiple renewable energy sources.
39 - Transport, packaging, storage and travel services
40 - Treatment of materials; recycling, air and water treatment,
42 - Scientific, technological and industrial services, research and design
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Utility services, namely, storage of electrical power and electrical energy; distribution of electrical power Electrical power generation Scientific and technological services, namely, research, development, and design in the field of electrical power generation and electrical energy storage infrastructure and systems; plant engineering services in the field of electrical power generation and electrical energy storage infrastructure and systems; technical consultation and advisory services in the field of the design and operation of electrical power generation and electrical energy storage infrastructure and systems; electrical engineering services
39 - Transport, packaging, storage and travel services
40 - Treatment of materials; recycling, air and water treatment,
42 - Scientific, technological and industrial services, research and design
Goods & Services
Utility services, namely, storage of electrical power and electrical energy; distribution of electrical power Electrical power generation Scientific and technological services, namely, research, development, and design in the field of electrical power generation and electrical energy storage infrastructure and systems; plant engineering services in the field of electrical power generation and electrical energy storage infrastructure and systems; technical consultation and advisory services in the field of the design and operation of electrical power generation and electrical energy storage infrastructure and systems; electrical engineering services
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42 - Scientific, technological and industrial services, research and design
Goods & Services
Utility services, namely, storage of electrical power and electrical energy; distribution of electrical power Electrical power generation Scientific and technological services, namely, research, development, and design in the field of electrical power generation and electrical energy storage infrastructure and systems; plant engineering services in the field of electrical power generation and electrical energy storage infrastructure and systems; technical consultation and advisory services in the field of the design and operation of electrical power generation and electrical energy storage infrastructure and systems; electrical engineering services
82.
Systems and methods utilizing AC overbuilt renewable electric generation resource and charge storage device providing desired capacity factor
An integrated renewable energy source (RES) and energy storage system (ESS) facility configured to supply power to an AC electrical grid includes energy storage system capacity and inverter capacity that are larger than a point of grid interconnect (POGI) limit for the facility, enabling high capacity factors and production profiles that match a desired load. At least one first DC-AC power inverter is associated with RES, and at least one second AC-DC power inverter is associated with the ESS. AC-DC conversion is used when charging the ESS with RES AC electric power, and DC-AC conversion utility is used when discharging ESS AC electric power to the electric grid. Aggregate DC-AC inverter utility exceeds the facility POGI limit, and excess RES AC electric power may be diverted to the second inverter(s).
H02J 3/38 - Arrangements for parallelly feeding a single network by two or more generators, converters or transformers
G05B 19/04 - Programme control other than numerical control, i.e. in sequence controllers or logic controllers
G05B 13/02 - Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
G05B 19/042 - Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
83.
Coordinated control of renewable electric generation resource and charge storage device
A method for coordinated control of a renewable electrical energy source (RES) and an electrical energy storage (EES) device utilizes a time-dependent forecast of electrical energy production by the RES and a state of charge (SOC) schedule for the EES including at least one SOC target value. A time-varying charge/discharge control signal is configured to ensure that the SOC schedule is satisfied by charging at a rate necessary to meet the SOC target value, while periodically updating the generation of the charge/discharge control signal based upon an updated time-dependent forecast of electrical energy production and/or an updated SOC schedule. A configurable refresh period may be used to limit updates of the time-varying control signal including computation and use of a new basepoint value for aggregated energy supplied from the RES-ESS facility to an electrical grid.
The present disclosure provides a method for controlling a solar power plant comprising a plurality of solar modules. The method may comprise (a) obtaining irradiance data at a first time and a second time from a plurality of sensors disposed among or adjacent to the plurality of solar modules; (b) processing the irradiance data at the first time and the second time to generate an output that indicates whether one or more solar modules of the plurality of solar modules will be covered by a shadow or shade at a third time; (c) generating, based at least in part on the output, a power output prediction for the plurality of solar modules at the third time; and (d) adjusting a power output of the solar power plant based at least in part on the power output prediction.
H02J 50/00 - Circuit arrangements or systems for wireless supply or distribution of electric power
H02J 3/38 - Arrangements for parallelly feeding a single network by two or more generators, converters or transformers
H02J 3/00 - Circuit arrangements for ac mains or ac distribution networks
H02S 50/00 - Monitoring or testing of PV systems, e.g. load balancing or fault identification
H02J 13/00 - Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the networkCircuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
85.
Systems and methods for improved bifacial solar modeling
The present disclosure provides systems and methods for improved bifacial solar modeling. A method may comprise measuring an albedo of a surface on which an array of bifacial solar modules is disposed and setting an albedo parameter of a bifacial gain model. The method may further comprise measuring a backside irradiance of the array and setting a backside irradiance parameter. The method may further comprise setting a shed transparency parameter using the measured backside irradiance and a geometric model of the array. The method may further comprise setting a rear shading parameter using a shading model of the array. The method may further comprise computing an expected bifacial gain of the array. The method may further comprise determining an actual bifacial gain of the array. The method may further comprise setting a rear mismatch parameter to minimize a loss function of the expected bifacial gain and the actual bifacial gain.
42 - Scientific, technological and industrial services, research and design
Goods & Services
Scientific and technological services, namely, research, development, and design in the field of electrical power generation and electrical energy storage infrastructure and systems; plant engineering services in the field of electrical power generation and electrical energy storage infrastructure and systems; technical consultation and advisory services in the field of the design and operation of electrical power generation and electrical energy storage infrastructure and systems; electrical engineering services
39 - Transport, packaging, storage and travel services
40 - Treatment of materials; recycling, air and water treatment,
42 - Scientific, technological and industrial services, research and design
Goods & Services
Utility services, namely, storage of electrical power and electrical energy; distribution of electrical power Electrical power generation Scientific and technological services, namely, research, development, and design in the field of electrical power generation and electrical energy storage infrastructure and systems; plant engineering services in the field of electrical power generation and electrical energy storage infrastructure and systems; technical consultation and advisory services in the field of the design and operation of electrical power generation and electrical energy storage infrastructure and systems; electrical engineering services
42 - Scientific, technological and industrial services, research and design
Goods & Services
Scientific and technological services, namely, research, development, and design in the field of electrical power generation and electrical energy storage infrastructure and systems; plant engineering services in the field of electrical power generation and electrical energy storage infrastructure and systems; technical consultation and advisory services in the field of the design and operation of electrical power generation and electrical energy storage infrastructure and systems; electrical engineering services
42 - Scientific, technological and industrial services, research and design
Goods & Services
Scientific and technological services, namely, research, development, and design in the field of electrical power generation and electrical energy storage infrastructure and systems; plant engineering services in the field of electrical power generation and electrical energy storage infrastructure and systems; technical consultation and advisory services in the field of the design and operation of electrical power generation and electrical energy storage infrastructure and systems; electrical engineering services
42 - Scientific, technological and industrial services, research and design
Goods & Services
Scientific and technological services, namely, research, development, and design in the field of electrical power generation and electrical energy storage infrastructure and systems; plant engineering services in the field of electrical power generation and electrical energy storage infrastructure and systems; technical consultation and advisory services in the field of the design and operation of electrical power generation and electrical energy storage infrastructure and systems; electrical engineering services
92.
Method for controlling integrated renewable electric generation resource and charge storage system providing desired capacity factor
Methods for controlling an integrated renewable energy source (RES) and energy storage system (ESS) of a RES-ESS facility having a point of grid interconnect (POGI) limit are provided. A forecast for energy production of the RES as well as a state of charge (SOC) schedule are used to calculate a SOC target-based POGI cap that is less than the POGI limit, with the SOC target-based POGI cap representing as low a peak power output value as possible while still ensuring satisfaction of the SOC schedule. The forecasted RES production, SOC schedule, and SOC target-based POGI cap are used to generate a time-varying charge/discharge control signal for the ESS that ensures the SOC schedule is satisfied.
H02J 3/00 - Circuit arrangements for ac mains or ac distribution networks
G06Q 10/04 - Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
H02J 3/32 - Arrangements for balancing the load in a network by storage of energy using batteries with converting means
Method for implementing power delivery transaction for potential electrical output of integrated renewable energy source and energy storage system facility
Methods for implementing power delivery transactions between a buyer and a seller of electrical energy supplied to an electrical grid by an integrated renewable energy source (RES) and energy storage system (ESS) of a RES-ESS facility are provided. Estimated total potential output of the RES is compared to a point of grid interconnect (POGI) limit to identify potential RES overgeneration, and the buyer is charged if potential RES overgeneration is less than potential overgeneration during one or more retrospective time windows. The method provides a basis for the RES-ESS facility owner to be paid for an estimated amount of energy that did not get stored as a result of a grid operator not fully discharging an ESS prior to the start of a new day.
H02J 3/00 - Circuit arrangements for ac mains or ac distribution networks
H02S 10/20 - Systems characterised by their energy storage means
H02S 40/38 - Energy storage means, e.g. batteries, structurally associated with PV modules
G06Q 10/04 - Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
39 - Transport, packaging, storage and travel services
40 - Treatment of materials; recycling, air and water treatment,
42 - Scientific, technological and industrial services, research and design
Goods & Services
Utility services, namely, storage of electrical power and electrical energy; distribution of electrical power Electrical power generation Scientific and technological services, namely, research, development, and design in the field of electrical power generation and electrical energy storage infrastructure and systems; plant engineering services in the field of electrical power generation and electrical energy storage infrastructure and systems; technical consultation and advisory services in the field of the design and operation of electrical power generation and electrical storage infrastructure and systems; electrical engineering services
42 - Scientific, technological and industrial services, research and design
Goods & Services
Scientific and technological services, namely, research, development, and design in the field of electrical power generation and electrical energy storage infrastructure and systems; plant engineering services in the field of electrical power generation and electrical energy storage infrastructure and systems; technical consultation and advisory services in the field of the design and operation of electrical power generation and electrical energy storage infrastructure and systems; electrical engineering services
96.
Coordinated control of renewable electric generation resource and charge storage device
A method for coordinated control of a renewable electrical energy source (RES) and an electrical energy storage (EES) device utilizes a time-dependent forecast of electrical energy production by the RES and a state of charge (SOC) schedule for the EES including at least one SOC target value. A time-varying charge/discharge control signal is configured to ensure that the SOC schedule is satisfied by charging at a rate necessary to meet the SOC target value, while periodically updating the generation of the charge/discharge control signal based upon an updated time-dependent forecast of electrical energy production and/or an updated SOC schedule. A configurable refresh period may be used to limit updates of the time-varying control signal including computation and use of a new basepoint value for aggregated energy supplied from the RES-ESS facility to an electrical grid.
A method for coordinated control of a renewable electrical energy source (RES) and an electrical energy storage (EES) device utilizes a time-dependent forecast of electrical energy production by the RES and a state of charge (SOC) schedule for the EES including at least one SOC target value. A time-varying charge/discharge control signal is configured to ensure that the SOC schedule is satisfied by charging at a rate necessary to meet the SOC target value, while periodically updating the generation of the charge/discharge control signal based upon an updated time-dependent forecast of electrical energy production and/or an updated SOC schedule. A configurable refresh period may be used to limit updates of the time-varying control signal including computation and use of a new basepoint value for aggregated energy supplied from the RES-ESS facility to an electrical grid.
H02J 3/38 - Arrangements for parallelly feeding a single network by two or more generators, converters or transformers
H02J 7/02 - Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries for charging batteries from AC mains by converters
