The present disclosure provides techniques for estimating network states using asynchronous measurements by leveraging network inertia. For example, a device configured in accordance with the techniques of the present disclosure may receive electrical parameter values corresponding to at least one first location within a power network and determine, based on the electrical parameter values and a previous estimated state of the power network, an estimated value of unknown electrical parameters that correspond to a second location within the power network. The device may further cause at least one device within the power network to modify operation based on the estimated value of the unknown electrical parameters. The leveraging of network inertia may obviate the need for probabilistic models or pseudo-measurements.

Systems and apparatuses include a circuit structured to: identify a first source object, a second source object, and a load bus object; determine locations of the first source object, the second source object, and the load bus object on a one-line topology; receive operational parameters of the first source object, the second source object, and the load bus object; define, using the one-line topology, a first route including objects electrically connected between the first source object and the load bus object; define, using the one-line topology, a second route including all objects electrically connected between the second source object and the load bus object; and control operation of the first route and the second route.

A power control device is contained within a housing and has an electric current sensor configured to measure current passing through an electric outlet during a time period, a proximity sensor configured to detect a distance of an object relative to the electric outlet during the time period, a relay switch that can open or close to stop or conduct current through a circuit in the electric outlet in response to a command, and a wireless network interface in communication with the electric current sensor and the proximity sensor, the wireless network interface configured to transmit and receive data from the current sensor and the proximity sensor, to transmit commands to the relay switch, transmit the data to a computing device, and receive commands from the computing device.

An energy management system of the present invention can measure and integrate a power consumption amount of each device, can integrate and monitor regional total power consumption amounts, and allows energy to be effectively used by collecting, analyzing, storing and transmitting a use pattern and data through the Internet of Things (IoT) between devices and completely and automatically cutting off and controlling the power to be wasted in a device when the device is not used. The energy management system remotely controls devices and allows energy to be effectively managed through the minimization of power consumption by automatically and completely cutting off the power to be supplied to the devices when the devices are not used, and by cutting off the power to be supplied to the system when the power of all the devices connected to the system is cut off and when the system is in standby.

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.

Methods for implementing power delivery transactions between a buyer and a seller of electrical energy supplied to an electrical grid by an integrated renewable energy source (RES) and energy storage system (ESS) of a RES-ESS facility are provided. Estimated total potential output of the RES is compared to a point of grid interconnect (POGI) limit to identify potential RES overgeneration, and the buyer is charged if potential RES overgeneration is less than potential overgeneration during one or more retrospective time windows. The method provides a basis for the RES-ESS facility owner to be paid for an estimated amount of energy that did not get stored as a result of a grid operator not fully discharging an ESS prior to the start of a new day.

An adaptive system for managing, in an integrated way, multiple EC with variable configuration, with prosumer and/or proconstomer and/or constorer nodes that are dynamically aggregated over the time, through a partitionable digital platform that includes logics for the automatic management. To each platform portion corresponds an EC and an oriented combination of logics in turn selected, sequenced and parametrized according to the optimization purposes provided by the EC, to locally implement, through the controller of each node, the commands imparted to its devices and optimize energy flows, by first adapting to EC logics and then to single node logics. The oriented combination is continually recalculated, within 50 milliseconds from the reading of the data of each aggregated node, to adapt in real time to the variable configuration of an EC and its nodes.

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.

A power system may comprise a power system controller and a power storage. The power system controller may comprise a first pair of power terminals, a second pair of power terminals, at least one switch, and a central controller coupled to the at least one switch. The power storage may comprise storage power terminals connected to the first pair of power terminals. The second pair of power terminals may be coupled to a power source. The power system controller may be configured to control the switch to connect and disconnect the second pair of power terminals. The power system controller may be configured to receive power from the power storage during a process of connecting and disconnecting the second pair of power terminals.