Disclosed herein are systems and methods for sliding mode control enabled hybrid energy storage. In a specific embodiment, the system can include: a photovoltaic power generation unit; a hybrid energy storage system, where the hybrid storage system can include a battery, a supercapacitor, where the supercapacitor provides excess power demand based on different loading conditions, and a rate limiter; a sliding mode controller, where the slide mode controller controls a current in a hybrid energy storage system; a supercapacitor charging control; and a proportional integral controller. In a specific embodiment, the method can include: decoupling an average and transient hybrid energy storage system current with a single rate limiter, where the decoupling includes a battery discharge rate; regulating a battery current with a first sliding mode controller; and regulating a supercapacitor current with a second sliding mode controller, where a supercapacitor provides excess power demand.

A distributed power system including multiple DC power sources and multiple power modules. The power modules include inputs coupled respectively to the DC power sources and outputs coupled in series to form a serial string. An inverter is coupled to the serial string. The inverter converts power input from the serial string to output power. A signaling mechanism between the inverter and the power module is adapted for controlling operation of the power modules.

The present invention provides a method, system and storage medium for load dispatch optimization for residential microgrid. The method includes collecting environmental data and time data of residential microgrid in preset future time period; obtaining power load data of residential microgrid in future time period by inputting environmental data and time data into pre-trained load forecasting model; obtaining photovoltaic output power data of residential microgrid in future time period by inputting environmental data and time data into pre-trained photovoltaic output power forecasting model; determining objective function and corresponding constraint condition of residential microgrid in future time period, where optimization objective of objective function is to minimize total cost of residential microgrid; obtaining load dispatch scheme of residential microgrid in future time period by solving objective function with particle swarm algorithm. The invention can provide load dispatch scheme suitable for current microgrid and reduce operating cost of residential microgrid.

A rapidly deployable modular microgrid including a plurality of renewable and other energy generation technologies, energy storage technologies, energy distribution networks, and intelligent control systems capable of managing the flow of electrical energy between one or more locations of energy generation, storage, and consumption are disclosed. The aforementioned microgrid may be delivered and rapidly deployed to provide primary or secondary electricity for a variety of purposes; including but not limited to household electrification, commercial or industrial productivity, grid resiliency, water pumping, telecommunication systems, medical facilities, and disaster relief efforts.

Transaction-enabled systems and methods for royalty apportionment and stacking are disclosed. An example system may include a plurality of royalty generating elements (a royalty stack) each related to a corresponding one or more of a plurality of intellectual property (IP) assets (an aggregate stack of IP). The system may further include a royalty apportionment wrapper to interpret IP licensing terms and apportion royalties to a plurality of owning entities corresponding to the aggregate stack of IP in response to the IP licensing terms and a smart contract wrapper. The smart contract wrapper is configured to access a distributed ledger, interpret an IP description value and IP addition request, to add an IP asset to the aggregate stack of IP, and to adjust the royalty stack.

The present disclosure describes transaction-enabling systems and methods. A system can include a facility including a core task including a customer relevant output and a controller. The controller may include a facility description circuit to interpret a plurality of historical facility parameter values and corresponding facility outcome values and a facility prediction circuit to operate an adaptive learning system, wherein the adaptive learning system is configured to train a facility production predictor in response to the historical facility parameter values and the corresponding outcome values. The facility description circuit also interprets a plurality of present state facility parameter values, wherein the trained facility production predictor determines a customer contact indicator in response to the plurality of present state facility parameter values and a customer notification circuit provides a notification to a customer in response.

A negative sequence voltage (NSV) protection system is provided that can be added to existing equipment or included as a standalone device for detecting GFOV in electrical configurations connecting distributed energy resources to utility grids. The NSV protection system can be implemented at the low side of a distribution transformer of a typical distribution circuit or in a control system of inverter-based energy resources connected to a distribution feeder. The NSV protection system includes a passive monitoring system that outputs a trip signal when a potential GFOV is detected to occur. The trip signal can then be relayed to open the circuit breakers of a distribution circuit or to cause an inverter-based energy resource to trip offline.

A grid connection power conversion device for connecting a distributed power supply to a three-phase commercial power system is provided. The power conversion device comprises an inverter, an instantaneous voltage detection circuitry to detect a maximum three-phase instantaneous voltage value of the commercial power system, a line voltage detection circuitry to detect a maximum value of each of three line voltages, an instantaneous voltage drop detection circuitry to detect an instantaneous voltage drop, and an output current control circuitry to control an output current value from the inverter. When the instantaneous voltage drop detection circuitry detects an instantaneous voltage drop, the output current control circuitry reduces the output current value from the inverter to an output current value corresponding to a minimum value among the four maximum voltage values which are the maximum three-phase instantaneous voltage value and the maximum values of the three line voltages.

In switching of a microgrid from an isolated operation to an interconnected operation with a power grid, a CEMS server determines a first master DER and slaves based on a master plan and performs master-slave control. When the first master DER goes down, the CEMS server compares remaining capacities of power-storage-type DERs included in a DER group. The CEMS server then determines a DER with the highest remaining capacity as a second master DER among the power-storage-type DERs included in the DER group and performs master-slave control.

The present disclosure describes transaction-enabling systems and methods. A system can include a controller and a fleet of machines, each having at least one of a compute task requirement, a networking task requirement, and an energy consumption task requirement. The controller may include a resource requirement circuit to determine an amount of a resource for each of the machines to service the task requirement for each machine, a forward resource market circuit to access a forward resource market, and a resource distribution circuit to execute an aggregated transaction of the resource on the forward resource market.