Abstract: The present disclosure provides systems and methods for managing electrical energy generated by a renewable microgrid. One or more processors of a system may store priorities for one or more consumer loads; forecast an amount of available electrical energy for a time period; allocate a first electrical energy amount to a first consumer load to a first energy limit for the time period; determine more electrical energy is forecast to be available from the RES or the ESS for the time period; identify a second consumer load of the one or more consumer loads; allocate a second electrical energy amount to the second consumer load for the time period; and direct electrical energy from the RES or the ESS to the first and second consumer loads according to the allocations.

Abstract: A renewable power system with a twin-configurable architecture is described. The system includes a renewable energy source (RES), an energy storage system (ESS), and at least one controllable load (CL) (e.g., AI training/datacenter). The system can serve as a baseload or semi-baseload plant for CL(s) and/or as a peaker or semi-peaker plant for an electric grid, or vice-versa, and optionally in parallel, can also provide ancillary services to the electric grid and/or to the CL(s). In certain embodiments, e.g. solar PV RES(es), the system can have capacity factors of at least about 60% and up to 100%, higher asset utilization, better economics for the RES-ESS, improved system performance, and lower energy costs as compared with known systems without a CL(s). By making load a variable, and integral part of the system, sophisticated resource allocation strategies, including AI algorithms, can be developed not previously possible with known systems lacking a CL(s).

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 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 renewable power system with a twin-configurable architecture is described. The system includes a renewable energy source (RES), an energy storage system (ESS), and at least one controllable load (CL) (e.g., AI training/datacenter). The system can serve as a baseload or semi-baseload plant for CL(s) and/or as a peaker or semi-peaker plant for an electric grid, or vice-versa, and optionally in parallel, can also provide ancillary services to the electric grid and/or to the CL(s). In certain embodiments, e.g. solar PV RES(es), the system can have capacity factors of at least about 60% and up to 100%, higher asset utilization, better economics for the RES-ESS, improved system performance, and lower energy costs as compared with known systems without a CL(s). By making load a variable, and integral part of the system, sophisticated resource allocation strategies, including AI algorithms, can be developed not previously possible with known systems lacking a CL(s).

Abstract: The present disclosure provides systems and methods for managing electrical energy generated by a renewable microgrid. One or more processors of a system may store priorities for one or more consumer loads; forecast an amount of available electrical energy for a time period; allocate a first electrical energy amount to a first consumer load to a first energy limit for the time period; determine more electrical energy is forecast to be available from the RES or the ESS for the time period; identify a second consumer load of the one or more consumer loads; allocate a second electrical energy amount to the second consumer load for the time period; and direct electrical energy from the RES or the ESS to the first and second consumer loads according to the allocations.

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 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: 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.

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: The present disclosure provides systems and methods for managing electrical energy generated by a renewable microgrid. One or more processors of a system may store priorities for one or more consumer loads; forecast an amount of available electrical energy for a time period; allocate a first electrical energy amount to a first consumer load to a first energy limit for the time period; determine more electrical energy is forecast to be available from the RES or the ESS for the time period; identify a second consumer load of the one or more consumer loads; allocate a second electrical energy amount to the second consumer load for the time period; and direct electrical energy from the RES or the ESS to the first and second consumer loads according to the allocations.

Abstract: Methods and systems determine an energy delivery schedule for a first renewable energy power plant (REPP) and a second REPP connected to an energy grid at different points of delivery. The method includes forecasting energy production by a first REPP and a second REPP during a time period; identifying one or more possible delivery schedules for the first REPP and the second REPP; forecasting energy demand corresponding to points of delivery at the energy grid to which energy produced by the first REPP and the second REPP are provided; selecting a delivery schedule from the one or more possible delivery schedules for the first REPP and the second REPP; and sending a first control signal to the first REPP and a second control signal to the second REPP to implement the selected delivery schedule at the first REPP and the second REPP.

Abstract: 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.

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: 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.

Abstract: 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.

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 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: 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.

Abstract: 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.