8ME NOVA, LLC

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.

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.

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.

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 micro utility system. The micro utility system may include a portable container configured to house an energy storage system (ESS) and solar panel storage structures; a portable solar panel structure having two or more solar panels coupled to each other at one end, wherein the two or more solar panels are coupled to at least two wheels at a distal end of the portable solar panel structure; and circuitry configured to receive electrical power from the portable solar panel structure, wherein the circuitry includes a processor configured by machine-readable instructions to direct electrical energy from the portable solar panel structure or the ESS to a load.

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.

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.

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.

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.