The present disclosure is directed to energy storage and supply management system. The system may include one or more of a control unit, which is in communication with the power grid, and an energy storage unit that stores power for use at a later time. The system may be used with traditional utility provided power as well as locally generated solar, wind, and any other types of power generation technology. In some embodiments, the energy storage unit and the control unit are housed in the same chassis. In other embodiments, the energy storage unit and the control unit are separate. In another embodiment, the energy storage unit is integrated into the chassis of an appliance itself.

A controller according to an embodiment controls a hydrogen system including at least a hydrogen production system in which received power is planned in advance and a hydrogen production amount changes in accordance with the received power. The controller includes: a processor that calculates, in a preparation time period before a demand adjustment time period in which a target value of the received power is set in advance, a control command value such that input power to be inputted as the received power to the hydrogen production system matches the target value at a start of the demand adjustment time period; and a command controller that outputs the control command value calculated by the processor to the hydrogen production system.

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.

Techniques are presented for scheduling the charging of electric vehicles (EVs) that protect the resources of local low voltage distribution networks. From utilities, data on local low voltage distribution networks, such as the rating of a distribution transformer through which a group of EVs are supplied, is provided to a load manager application. Telematics information on vehicle usage is provided from the EVs, such as by way of the original equipment manufacturer. From these data, the load manager application determines schedules for charging the group of EVs through a shared low voltage distribution network so that the capabilities of the local low voltage distribution network are not exceeded while meeting the needs of the EV user. Charging schedules are then transmitted to the on-board control systems of the EVs for implementation.

A method includes providing, by processing circuitry, a net resource consumption trajectory including net resource consumption targets for one or more subperiods of a time period. Each net resource consumption target indicates a target difference between resource consumption and resource production or offset for a subperiod of the one or more subperiods. The method includes generating, by the processing circuitry and for a subperiod of the one or more subperiods, a set of actions predicted to achieve the net resource consumption target for the subperiod. The method includes implementing, by the processing circuitry, the set of actions.

In order to reduce the occurrence of component failure, this undersea device is provided with one or more temporarily energized units which are temporarily energized during use, and an energization switching unit which, when a predetermined operation is performed, supplies power to at least one temporarily energized unit, and which, upon completion of the operation, terminates supply of power to the at least one temporarily energized unit.

An anastomat includes a body tail plate and a battery pack, a triode and a controller. The elastic sheets for positive and negative signals of the body tail plate are connected to the upper and lower signal conducting sheets in the battery pack by means of a mechanical mechanism, and afterwards are used for outputting a signal for the anastomat. After the power clamping reed of the body tail plate is connected to the power output conducting plate in the battery pack by means of a mechanical structure, the power clamping reed is used for outputting power for the anastomat. The controller is used for controlling the operation of a battery panel in the battery pack, wherein the base of the triode is connected to a pin corresponding to the controller, the collector of the triode is connected to the battery panel, and the emitter of the triode is grounded.

An embedded power supply apparatus is partially buried in an enclosed structure, is configured to provide a first DC voltage to a plurality of electronic devices, and includes a first power conversion circuit, a plurality of switch circuits, a human-machine interface module and a control circuit. The first power conversion circuit is configured to convert an input AC voltage into the first DC voltage and provide the first DC voltage to the switch circuits. The switch circuits each is configured to selectively transmit the first DC voltage to a corresponding electronic device of the electronic devices according to a corresponding first control signal of a plurality of first control signals. The control circuit is configured to receive a second control signal generated by the human-machine interface module, and generate the first control signals to the switch circuits according to the second control signal.

A computer executes resource classification and resource selection. In the resource classification, each of a plurality of resources is classified as a first resource or a second resource having lower rated charging power than the first resource. In the resource selection, resources to act as reserves are selected for a reserve request from among the plurality of resources. In the resource selection for a first reserve request, the computer selects resources corresponding to the first resource with priority over resources corresponding to the second resource, and in the resource selection for a second reserve request, the computer selects resources corresponding to the second resource with priority over resources corresponding to the first resource. An adjustment period of the second reserve request is longer than an adjustment period of the first reserve request.

An electrical power distribution control system configured to issue a demand response signal to cut power to a plurality of electrical power consuming loads within an electrical power distribution network to reduce a peak power demand within an electrical power grid during a peak power demand. Unlike conventional demand response systems, the controller in each consumer residence includes both a distributed control based on the ability to track individual 24 hour usage patterns and selectively delay the demand response signal on individual resistive heating loads based on usage patterns for the purpose of reducing a likelihood of consumers experiencing effects of the reduced peak power demand.