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: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

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 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.

Abstract: 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.

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: 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.

Abstract: 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.

Abstract: 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.

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: 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.

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.

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 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.

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.