Demand response methodologies for primary frequency response (PFR) for under or over frequency events. Aspects of the present disclosure include methods for controlling a fleet of distributed energy resources equipped for PFR and quantifying in real time an amount of primary frequency control capacity available in the fleet. In some examples, the DERs may be configured to consume and discharge electrical energy in discrete energy packets and be equipped with a frequency response local control law that causes each DER to independently and instantaneously interrupt an energy packet in response to local frequency measurements indicating a grid disturbance event has occurred.

A method is disclosed for controlling the operating of a consumption appliance by way of a selector switch controlled by an energy saving device connected to a management center. The consumption appliance is kept in its default power mode, until receiving, by the energy saving device, an authentic secured control message sent by the management center. This message includes a command onto the mode in which the consumption appliance has to be switched. A counter is initialized with an initialization value before to be triggered. The consumption appliance is switched in the mode indicated by the command, either until the counter has reached a threshold value, or until receiving another authentic control message. If the counter has reached the threshold value, then the consumption appliance is switched in its default power mode. If another authentic secured control message has been received, then returning to the step of initializing the counter.

Disclosed is a centralized system and method for metering, tracking, and monetizing distributed digital energy assets. The system includes the creation and utilization of a secure digital energy-asset that acts as a key, authorizing specialized circuits to generate a specified amount of electrical energy. Digital information passed through the system includes data necessary to ascribe attribution (i.e., branding, trail of ownership, etc.) and permit monetization (i.e., kWhs, time, dollars, geography, etc.). Functionality and/or value that is ascribed to the digital energy asset can be enhanced by appending additional information and/or utility. The system also includes a means to normalize and evaluate a potentially infinite number of measurements commonly used in business models across multiple industries to a simplified listing of measurements required to track and monetize energy alone within the system.

A server includes a processing device. The server manages a plurality of vehicles. The processing device sets priority levels for the vehicles. The processing device sets the priority level of a vehicle in which its switching device is in a closed state to be higher than the priority level of a vehicle in which its switching device is in an open state. The processing device selects, based on the priority levels, a participating vehicle to be used for demand-increasing demand response from among the vehicles.

Some embodiments include electric power demand stabilization methods and systems that may include measuring the power draw of a plurality of controllable devices; determining a rolling average power draw for the plurality of controllable devices over a period of time; measuring an instantaneous power draw of the plurality of controllable devices; and calculating a power budget comprising the difference between the instantaneous power draw and the rolling average power draw. In the event the power budget is positive, increasing power to at least a first subset of the plurality of controllable devices. In the event the power budget is negative, decreasing power to at least a second subset of the plurality of controllable devices.

A method includes supplying a plurality of generators, each generator in electrical communication with a switchgear with each switchgear in data communication with a generator data management system. The method also includes supplying a plurality of electrically driven fracturing pumps with each electrically driven fracturing pump in data communication with pump data management system. Further, the method includes supplying a load shedding system, the load shedding system in data communication with the generator data management system and a pump control system, the pump control system in data communication with the pump data management system. The method includes determining which pumps should have speed reduced by the load shedding system and reducing the speed of the pumps determined by the load shedding system using the pump control system.

The present disclosure is directed to systems and methods for economically optimal control of an electrical system. Some embodiments include an input device to receive input from a user. The site information may include an indication from the user of a site participation preference for a response event for an aggregation opportunity.

Certain aspects of the present disclosure relate to a local energy management system (LEMS) at local mixed power generating sites for providing grid services and grid service applications. The LEMS generally serves as a local power control agent for facilitating energy management at the local site level by controlling and leveraging a plurality of local assets deployed at the local site, and combining a plurality of generated power from each site which acts as its own virtual power plant for delivering grid services to the grid. In addition, the LEMS has the ability to effectively handle and fulfill energy and electrical objectives of the grid services, including regulation or demand response objectives from the grid, by conveying operational set points that control the power charge and discharge at each local asset in order to meet those objectives.

An electric power management system is a system that performs an exchange of electric power with an electric power system of an electric power company that is a counterparty of the exchange of the electric power, and includes a plurality of the vehicles, each including a battery, and a server that manages an exchange of the electric power between the battery of each of the vehicles and the electric power system. The server manages the exchange of the electric power for each vehicle group in which the vehicles are bundled, and configures the vehicle groups in advance such that distributions of the electric power supply and demand characteristics of the batteries of the vehicles included in the vehicle groups are the same or similar.

A power prediction system includes a battery removably mounted on an electric power device using electric power, a charging device configured to charge the battery, and a power prediction device configured to predict an amount of electric power capable of being supplied by the charging device to outside of the charging device through machine learning on the basis of usage information indicating at least one of the usage state and the usage environment of the charging device.