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.

In switching of a microgrid from an isolated operation to an interconnected operation with a power grid, a CEMS server determines a first master DER and slaves based on a master plan and performs master-slave control. When the first master DER goes down, the CEMS server compares remaining capacities of power-storage-type DERs included in a DER group. The CEMS server then determines a DER with the highest remaining capacity as a second master DER among the power-storage-type DERs included in the DER group and performs master-slave control.

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.

The present disclosure describes transaction-enabling systems and methods. A system can include a controller and a fleet of machines, each having at least one of a compute task requirement, a networking task requirement, and an energy consumption task requirement. The controller may include a resource requirement circuit to determine an amount of a resource for each of the machines to service the task requirement for each machine, a forward resource market circuit to access a forward resource market, and a resource distribution circuit to execute an aggregated transaction of the resource on the forward resource market.

A micro-network includes at least two heating appliances with communication modules, one being used for obtaining and transmitting a first data set having at least one measurement related to the electricity consumption of the heating appliance, at least one measurement related to the electricity production of same and at least one measurement related to a state of charge of an electrical energy storage device, and subsequently controlling the power supply to the heating member. The other module is used for obtaining, and transmitting to a supervision module, first and second data sets including at least one item of data relating to an electrical power source, and subsequently transmitting a first setpoint state of charge related to the state of charge of the electrical energy storage device of the other heating device. The first setpoint state of charge is taken into account when controlling the power supply to the heating member.

An apparatus may control the power delivered from an AC power source to an electrical load, and may comprise a controllably conductive device. The apparatus may also comprise a controller that may be operatively coupled to a control input of the controllably conductive device. The apparatus may also include a first wireless communication circuit operable to communicate via a first protocol and to join a first wireless communication network operable to communicate via the first protocol. The first wireless communication circuit may be in communication with the controller. The controller may be operative to determine a first condition for communicating via the first protocol. The controller may also be operable to control the first wireless communication circuit to join the first wireless communication network upon the first condition being satisfied.

An apparatus for a system power device utilized in an interconnected power system. The interconnected power system may include multiple system power devices connected to various inter connections of groups of direct currents (DC) from power sources which also may be connected in various series, parallel, series parallel and parallel series combinations for example. The apparatus may include a processor connected to a memory and a communication interface operatively attached to the processor. The communication interface may be adapted to connect to a mobile computing system of a user in close proximity to the system power devices. A graphical user interface (GUI) of the mobile computing system may allow various operational and re-configuration options for the interconnected power system which may include installation, maintenance and monitoring schedules in the interconnected power system when the user of the GUI is in close proximity to the system power devices.

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.