A utility employs a method for generating available operating reserve. Electric power consumption by at least one device serviced by the utility is determined during at least one period of time to produce power consumption data, stored in a repository. A determination is made that a control event is to occur during which power is to be reduced to one or more devices. Prior to the control event and under an assumption that it is not to occur, power consumption behavior expected of the device(s) is generated for a time period during which the control event is expected to occur based on the stored power consumption data. Additionally, prior to the control event, projected energy savings resulting from the control event, and associated with a power supply value (PSV) are determined based on the devices' power consumption behavior. An amount of available operating reserve is determined based on the projected energy savings.

An example operation includes one or more of determining, by a first energy source, that a second energy source configured to provide energy to an area is in need of supplemental energy, providing, by the first energy source, the supplemental energy to at least one location within the area in a prioritized manner, and responsive to a severity of the need and an amount of available energy at the first energy source, notifying, by the first energy source, the at least one transport to provide additional energy to the at least one location in the prioritized manner.

A method for operating an appliance on a power grid operated by a utility is described. The method includes receiving, at a server associated with the utility, information indicating whether a person is present in a proximity of the appliance, determining, by the server, an operational state of the appliance based on whether the person is present in the proximity of the appliance, and transmitting to the appliance, via a communication link associated with the power grid, control information related to the operational state to control operation of the appliance. Related methods, devices and systems are described.

Systems include one or more critical datacenter connected to behind-the-meter flexible datacenters. The critical datacenter is powered by grid power and not necessarily collocated with the flexboxes, which are powered “behind the meter.” When a computational operation to be performed at the critical datacenter is identified and determined that it can be performed at a lower cost at a flexible datacenter, the computational operation is instead routed to the flexible datacenters for performance The critical datacenter and flexible datacenters preferably shared a dedicated communication pathway to enable high-bandwidth, low-latency, secure data transmissions.

A system for managing electrical loads includes a plurality of branch circuits, a sensor system, and control circuitry. The sensor system is configured to measure one or more electrical parameters corresponding to the plurality of branch circuits, and transmit one or more signals to the control circuitry. The control circuitry is configured to determine respective electrical load information in each branch circuit based on the sensor system, and control the electrical load in each branch circuit using controllable elements based on the respective electrical load information. The control circuitry transmits usage information, generates displays indicative of usage information, accesses stored or referencing information to forecast electrical load, and manages electrical load in response to identified events. The control circuitry can associate each branch circuit with reference load information, and disaggregate loads on each branch circuit based on the reference load information and on the electrical load in the branch circuit.

A fast and flexible holomorphic embedding-based method for assessing power system load margins includes the following steps: S1, acquiring required decrypted power system data from a partner indirectly; S2, establishing a system of continuation power flow equations; S3, solving the continuation power flow equation by FFHE; and S4, designing and planning a scheduling policy for the power system based on the solved load margin. Compared with prediction through a linear function, the present method is considerably precise and efficient by utilizing rational approximants obtained by expanding arc-length series without repeatedly applying a local solver inefficiently and multifariously for correction. An efficient solution is developed to solve this type of nonlinear equations efficiently. Compared with existing methods, the present method is significantly improved in computational efficiency, computational accuracy, solvable system scale and the like.

A group generation apparatus coupled via a communication network to a plurality of consumers coupled to a power system. The group generation apparatus includes: a group size determination unit that determines a number of consumers per group that makes a difference minimum or equal to or smaller than a threshold, between a total sum of demand power of the consumers included in a same group and a forecasted value of the total sum, and a grouping unit that divides the plurality of consumers into a plurality of consumer groups in accordance with the number of consumers determined.

A controller issues an instruction of charge and discharge control to charge a power storage device up to a first target SOC and to discharge the power storage device up to a second target SOC. The controller lowers the first target SOC and the second target SOC with an increase in predicted temperature of the power storage device in a next charge and discharge cycle. The controller lowers the first target SOC and the second target SOC such that the second target SOC is lower than the first target SOC.

The present disclosure generally relates to systems and techniques for power generation. In some aspects, the techniques described herein relate to a method for power generation, including: receiving a forecast of weather impacting renewable energy generation configured to provide power to a load; distributing energy between a plurality of energy storage equipment based on the forecast of the weather, the plurality of energy storage equipment including different types of storage equipment; selecting one of the plurality of energy storage equipment based on the forecast of the weather; and controlling distribution of power from the selected one of the plurality of energy storage equipment to the load.

An apparatus and method for managing electric devices, and a mobile device and a system adapted to the method are provided. The electric device management system includes an electric power supply, a plurality of electric devices that are arranged in an area and receive electric power from the electric power supply, and a device management apparatus for providing information regarding the electric devices and at least one operation schedule of electric devices based on the entire amount of electric power planned to be consumed by the electric devices.