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: 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 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 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 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: 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: 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: 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: 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: 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 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.

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: 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 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.