A method of controlling at multiple customer sites with separate metering electrical devices to control consumption of electricity in an electricity supply web made up of multiple electricity using customers that is over laid on a physical network, comprising the steps of: acquiring a budget for electrical energy for use in a predetermined time period; monitoring real-time use of electrical energy by electrical devices in the overlay web; comparing real-time use of electrical energy with the budget; and sending a control signal to at least one electrical device in the overlay web, based on the comparison, in order to increase or decrease electrical load so that total energy use in the predetermined time period is balanced with the budget. Also disclosed is an apparatus for controlling at least one electrical device in an electricity supply web made up of multiple electricity using customers.

A system for collaborative load balancing within a community of a plurality of energy nodes includes a central allocation server and a plurality of local agent servers. Each of the local agent servers is connected to a respective one of the energy nodes and has a processor configured to: receive input variables or parameters; predict, using the received input variables or parameters, a non-zero energy generation amount that power generation equipment can generate over a planning horizon and an energy consumption amount that will be consumed over the planning horizon; solve, using the energy generation amount and the energy consumption amount, an optimization problem over the planning horizon; and communicate a solution to the optimization problem to the central allocation server. Each of the energy nodes includes power generation equipment, power transmission equipment, and power storage equipment.

An electric power control system for controlling supply and consumption of electric power in a system power supply, a storage battery and an electric power load, said electric power control system including: an estimated value correction unit configured to obtain a difference between a past power control estimated value and a past actual performance value, and to shift a power control estimated value obtained as a result of estimation in a predetermined period to an extent corresponding to said difference, thereby correcting the power control estimated value, wherein said past power control estimated value is a value obtained as a result of estimation performed in a past time relative to said predetermined period, and said past actual performance value is a value obtained as an actual result in the past time; and a power control unit configured to control supply and consumption of electric power in the system power supply, the storage battery, and the electric power load, based on the power control estimated value corrected by the estimated value correction unit.

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 method for distributing energy in a home energy management system including a central unit, at least one energy source and at least one energy consumer that are interconnected to exchange information. According to the method, the central unit generates information containing a first price information element and a first energy quantity information element for a predefined time period; the central unit transfers the information to the energy consumer; the energy consumer, taking account of the information, determines requirement information containing at least one requested energy quantity for the predefined time period; the energy consumer transfers the requirement information to the central unit; the central unit checks whether, at any given time, the total requested energy quantity determined from the transferred requirement information exceeds the energy quantity available at this time; and the central unit transfers confirmation information to the energy consumer or the method is carried out again.

A method tests the configuration of an aggregated DERs system using distributed asset managers in a decentralized hardware-in-the-loop (“HIL”) scheme. The managers contain the model of the asset they are meant to control. The method programs an asset manager with a model of a DERs asset. A plurality of asset managers are connected to a central controller. The plurality of asset managers are also connected to a simplified hardware-in-the-loop platform. The simplified HIL platform is configured to solve a network model, a load model, a non-controllable asset model, and a grid model. The method tests the DERs system control structure by using: (a) the simplified HIL platform to solve the network model, the load model, the non-controllable asset model, and the grid model, and (b) the asset manager to solve the model of the DERs asset, without any simulation between the central controller and the distributed asset managers.

The present invention pertains to an energy management device 50 of a microgrid S1 which is associated with a power system 1 and is provided with a power storage device 15, the energy management device calculating a target value of received power of the microgrid, the target value optimizing the utilization efficiency of the energy of the microgrid S1, on the basis of power demand prediction in the microgrid S1 by taking, as constraint conditions, the upper and lower limits of the received power of the microgrid S1 and the upper and lower limits of output power of the power storage device.

A distributed energy resource (DER) device is coupled to a utility meter in a “behind-the-meter” configuration. The utility meter analyzes a commitment generated by the DER device to determine a specific operation performed by the DER device at a particular time. The utility meter analyzes metrology data to identify an “event” associated with the particular time and then attempts to map the identified event back to the DER device based on a library of events associated with different DER devices. The utility meter also attempts to map the identified event to the specific operation set forth in the commitment. If the utility meter can successfully map the identified event to both the DER device and to the specific operation set forth in the commitment, then the utility meter generates a validated commitment. The validated commitment can be used to facilitate an energy market settlement process.

A power management system includes a plurality of power adjustment resources electrically connected to a microgrid MG, and a CEMS server that manages the power adjustment resources. The CEMS server outputs a power adjustment request to a plurality of power adjustment resources when suppression of power consumption or consumption of surplus power is requested in the microgrid MG, and gives an incentive to the power adjustment resource that performs power adjustment in response to the power adjustment request among the power adjustment resources. The CEMS server increases the incentive more as a deviation of a second power amount adjusted by a responding resource with respect to a first power amount requested for adjustment by the power adjustment request is smaller.

A power management system includes a plurality of power adjustment resources electrically connected to a microgrid MG, and a CEMS server that manages the power adjustment resources. The CEMS server outputs a power adjustment request to the power adjustment resources when suppression of power consumption or consumption of surplus power in the microgrid MG is requested, and gives an incentive to a “responding resource” as the power adjustment resource that performs power adjustment in response to the power adjustment request among the power adjustment resources. The CEMS server increases the incentive more as a deviation of a time period during which the power adjustment is performed by the responding resource, with respect to a time period determined in the power adjustment request is smaller.