Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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).

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.