A method for making a spatio-temporal combined optimal scheduling strategy of a mobile energy storage (MES) system includes: inputting data of a power system, a traffic system, and an MES system; setting a time interval, and initializing a time interval counter; inputting real-time fault, traffic, and MES data; and performing rolling optimization and solving, and delivering regulation decision instructions of the MES system, till a fault is removed. The core of the present disclosure is to propose a spatio-temporal combined optimal model of the MES system to describe spatio-temporal coupling statuses of an energy storage vehicle, a traffic network, and a power distribution network. The present disclosure provides guidance for an optimal scheduling decision of the MES system by properly regulating a traveling path and charging and discharging power of the MES system, thereby supporting high-reliability operation of the power distribution network.

The example embodiments are directed to a system and method for forecasting load flexibility of a power grid. In one example, the method includes receiving temperature values associated with temperature set points of a plurality of loads that are included on a power grid, forecasting a flexibility of the plurality of loads using a polynomial-time mixed-integer non-linear programming (MINLP) optimization based on the received temperature values for the plurality of loads, and outputting information about the forecasted flexibility for display to a display device. The MINLP optimization performs the forecasting of the load flexibility on a fine-grained basis in comparison to conventional methods and is still fast enough that it can be computed in real-time.

A power control apparatus for a distributed power supply interconnected with a power system includes: a conversion circuit that performs reverse conversion of converting power supplied from the distributed power supply from direct current to alternating current and outputting the converted power; and a control device that controls the conversion circuit. The control device changes a target value of received power at a power reception point of the power system on the basis of a predicted value of a power generation amount of the distributed power supply and a predicted value of power consumption of a demand facility, and controls an output of the conversion circuit such that the received power at the power reception point becomes a target value.

A system and method for dynamically and automatically adjusting the load on a power grid through micro adjustments of equipment coupled to the consumer side of the power grid. The system allowing for the automatic adjustment of equipment to either decrease or increase instantaneous power demand on the grid in response to peak demands and demand valleys to smooth the demand curve on the power grid. The system able to balance demand within the grid to adjust demand within various different portions of the power grid and allowing for reducing the power buffer supplied by electric utilities to reduce waste and carbon emissions.

A controller for building equipment that operate to produce or consume resources for a building or campus. The controller performs an optimization of an objective function subject to an override constraint to determine values for a plurality of decision variables indicating amounts of resources to be produced or consumed by the building equipment. The override constraint defines one or more of the values for a subset of the plurality of decision variables by specifying an override amount of a first resource of the resources to be produced or consumed by a first subset of the building equipment and the optimization determines a remainder of the values for a remainder of the plurality of decision variables. The controller controls the building equipment to produce or consume the amounts of the resources determined by performing the optimization subject to the override constraint.

Techniques for managing an off-grid power system include executing update requests for an off-grid power system that is communicably coupled to an energy management system by determining an amount of stored energy in energy storage devices in response to at least one update request, determining an amount of electrical power generatable by renewable energy power systems in response to another update request, determining a predicted reliability of at least a portion of the energy storage devices and the renewable energy power systems in response to another update request, and determining an amount of electrical power for a remote facility that is electrically coupled to the off-grid power system in response to another update request. The techniques further include determining a control command for the off-grid power system based on the responses to the update requests; and providing the control command to the off-grid power system to adjust an operation of at least one of the energy storage devices or the renewable energy power systems.

Technologies for dynamic forecasting, aggregation, and validation may include circuitry configured to collect data indicative of power flows at multiple locations in an electrical grid, to receive one or more parameters for generation of a customized forecast indicative of predicted power flows associated with one or more of the multiple locations over a defined time period, to select a subset of the collected data that satisfies the one or more parameters, to produce a model to predict power flows in the electrical grid associated with the one or more locations, to determine whether the model is validated by determining whether a predicted production of power minus predicted losses is within a predefined range of a predicted consumption of power at the one or more locations, and to produce the customized forecast of predicted power flows associated with the one or more locations for the defined time period.

Systems and methods for performing actions in response to charging events, such as charging events associated with a specific electric vehicle and/or a specific charging station, are described. In some embodiments, the systems and methods may receive a request from an electric vehicle to identify a charging station from which to charge a battery of the electric vehicle, provide information associated with the electric vehicle to one or more charging stations proximate to the electric vehicle, receive from the one or more charging stations information identifying parameters associated with potential charging events provided by the one or more charging stations, and provide the information identifying the parameters associated with potential charging events provided by the one or more charging stations to the electric vehicle.

The present disclosure is directed to energy management equipment configured to manage energy efficiently in a grid in a simple, economic, maintenance-free manner that can be easily used in residential and industrial applications. In addition, an energy system is proposed in a grid for home or industrial use that comprises a source of energy consumption, a main energy grid, an intermittent energy source, a secondary source of energy generation and an energy storage device. Finally, a method is proposed to manage energy by means of an optimization model that is executed in the equipment and energy management system of the present disclosure.

Embodiments of a method of operating an electrical grid having at least one electrical consumer and a plurality of electrical producers are disclosed. In the method, a consumption prediction for the electrical consumer is provided, and production predictions for each electrical producer of a plurality of electrical producers are provided. The respective distances between the electrical consumer and each electrical producer of the plurality of electrical producers are determined. An electrical producer of the electrical producers is allocated to the electrical consumer in a first allocating step such that the provided consumption prediction of the electrical consumer matches to the provided production prediction of the at least one electrical producer and such that the determined distance between the electrical consumer and the at least one electrical producer is at least smaller than at least one first distance limit.