A control system for an energy storage system located behind a utility meter uses a unique, feedback-based, communication and control method to reliably and efficiently maximize economic return of the energy storage system. Operating parameters for the energy storage system are calculated at an external, centralized data center, and are selected to prevent electrical power demand of an electric load location from exceeding a specified set-point by discharging energy storage devices, such as DC batteries, through a bidirectional energy converter during peak demand events. The control system can operate autonomously in the case of a communications failure.

The present invention is directed to a system for generating thermal energy from different energy sources, having a combustion-powered thermal energy source, an electric-powered thermal energy source, a steam distribution system, and a controller. The combustion-powered thermal energy source and the electric-powered each having a plurality of sensors. The controller is configured to actuate either or both of the energy sources based at least in part on information received from one or more of the plurality of sensors.

An exemplary power system includes a DC power bus and a photovoltaic system connected to the DC power bus. An energy storage system is connected to the DC power bus and stores energy injected to the DC power bus by the photovoltaic system. A power inverter is connected to the DC power bus and converts power between the DC power bus and an AC connected load. The power system also includes a control system that receives power system data from one or more sub-systems and devices connected to the DC power bus, and controls, in real-time, one or more of the power inverter and the energy storage system to act as a load on the DC power bus based on the received power system data.

Various embodiments are provided for facilitating the operation and control of a fleet of on-site energy assets and optimizing energy dispatch across the fleet, thereby facilitating the use of the on-site energy assets instead of grid-supplied electric consumption. An example system may comprise a central platform and a plurality of on-site gateway devices configured to perform on-site asset control. An example method may comprise receiving a service availability call, performing fleet-level optimization, generating a set of site-level schedules, and causing, as a function of the site-level schedules, real-time on-site asset control. Other embodiments provide for determining a location of each grid-connected energy consumer at which to reduce grid-supplied energy consumption, determining an amount of a reduction of grid-supplied energy consumption, and transmitting a signal to each corresponding gateway device located at the determined location, the signal comprising data indicative of instructions for performing on-site energy dispatch.

A microgrid comprises an electric vehicle battery storage system that supplies a first DC signal, a bus bar that receives the first DC signal and provides a combined DC signal, a frequency variable and/or voltage variable inverter that receives the combined DC signal, converts, responsive to one or more control signals, the combined DC signal into a first AC signal having variable frequency and/or variable voltage, and provides the first AC signal having the variable frequency and/or voltage to the electrical loads of the facility, and a DC to AC that receives, responsive to the one or more control signals, the combined DC signal from the bus bar, and converts the combined DC signal to a second AC signal.

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.

A micro grid system comprises a secondary energy source and a power controller. The secondary energy source is associated with a micro grid that includes a fixed or mobile facility, and the secondary energy source is configured to generate first DC power signal. The power controller is in communication with the secondary energy source and an electric grid, and configured to receive first AC power signal from the electric grid and the first DC power signal from the secondary energy source and output a second AC power signal to loads in communication with the power controller. The power controller comprises an AC to DC frequency converter configured to change frequency and/or voltage of the second AC power signal, a processor, and a memory configured to store instructions that, when executed, cause the processor to control the frequency converter to change the frequency and/or voltage of the second AC power signal.

A micro grid system comprises a secondary energy source and a power controller. The secondary energy source is associated with a micro grid that includes a fixed or mobile facility, and the secondary energy source is configured to generate first DC power signal. The power controller is in communication with the secondary energy source and an electric grid, and configured to receive first AC power signal from the electric grid and the first DC power signal from the secondary energy source and output a second AC power signal to loads in communication with the power controller. The power controller comprises an AC to DC frequency converter configured to change frequency and/or voltage of the second AC power signal, a processor, and a memory configured to store instructions that, when executed, cause the processor to control the frequency converter to change the frequency and/or voltage of the second AC power signal.

A system comprises a converter that converts a grid AC signal to a first DC signal, a bus bar that receives the first DC signal and provides a combined DC signal, power electronics in communication with electrical loads via a breaker panel, where the power electronics convert, responsive to control signals, the combined DC signal into a second AC signal having variable frequency/variable voltage, and provides the second AC signal to the electrical loads, a processor that receives sensed characteristics and provides, based in part on the sensed characteristics, the control signals to the power electronics, and sensors that sense characteristics of the second AC signal and supply the sensed characteristics to the processor. The power electronics control the variable frequency and/or variable voltage of the second AC signal based at least in part on the one or more control signals to reduce negative effects on the breaker panel.

An operation decision-making method for centralized cloud energy storage capable of participating in power grid auxiliary services. The method includes: establishing a model predictive control model; obtaining operating parameters of the current period t from a grid control center at a beginning of a current decision-making cycle; predicting operating parameters within the predetermined time range based on historical data; obtaining decision variables according to the model predictive control model, the operating parameters of the current period and the operating parameters within the predetermined time range; setting a charging power of the centralized energy storage facility in the current period t and a discharging power according to the decision variables; obtaining an actual power of the centralized energy storage facility at an end of the current period t through sensors installed on the centralized energy storage facility as a parameter for a next decision period.