A system for discovering the topology and phase of an electrical power distribution system is provided. For example, a group of meters connected to an electrical power distribution system can process sensor data obtained at the meters and generate descriptors based on the processed data and transmit the descriptors to a headend system. The headend system can, after receiving the descriptors from the various meters in the system, group these meters to generate a grouping by applying clustering algorithms to the descriptors of these meters. The headend system can further compare the current grouping with past groupings to determine a confidence level of the current grouping and assign a segment identifier or a phase identifier or both to one or more of the meters based on the confidence level.

A controller for a plurality of solar panels is provided. An input connector is configured to receive (a) power from the plurality of solar panels, and (b) information from the individual solar panels. An output is configured to forward from the input connector the power from the plurality of solar panels. A controller is configured to receive the information, and based on the information selectively enable or disable the flow of power from the input to the output. The controller enables the flow of power when (a) a number of solar panels connected to the input is within a first threshold, and (b) the total rated output of solar panels connected to the input is within a second threshold. The controller disables the flow of power when (a) a number of solar panels connected to the input exceeds the first threshold, and/or (b) the total rated output of solar panels connected exceeds the second threshold.

An energy management capsule is disclosed, being a mains-powered device with multiple sensors or electrical output controllers connected to the Internet. Web services analyse sensor data for controlling electrical outputs and providing information about significant changes to predicted sensor values. Several Energy Management Capsules may be interconnected via mains powerlines, wireless communications or wired digital networks. It reports failure of mains power supply.

A computerized method allowing automated building energy management is provided, including specifically automated electric load shed in response to load shed programs and the like. The method also provides for automated electric load increases in response to certain conditions. The system allows for remote and automated managing, coordinating, and implementing of electrical load changes or modifications at a facility having electric equipment.

A system architecture and method for enabling hierarchical intelligent control with appropriate-speed communication and coordination of control using intelligent distributed impedance/voltage injection modules, local intelligence centers, other actuator devices and miscellaneous FACTS coupled actuator devices is disclosed. Information transfer to a supervisory utility control is enabled for responding to integral power system disturbances, system modelling and optimization. By extending the control and communication capability to the edge of the HV power grid, control of the distribution network through FACTS based Demand response units is also enabled. Hence an integrated and hierarchical total power system control is established with distributed impedance/voltage injection modules, local intelligence centers, connected other actuator devices, miscellaneous FACTS coupled devices and utility supervisory all networked at appropriate speeds allowing optimization of the total power system from generation to distribution.

An electrical connection enclosure (100) is supplied with electrical power by power supply cables (102) and supply at least one electrical load (104). The enclosure comprises a power supply column (106) and at least one connection column (110). Each connection column comprises at least one monitoring-and-control unit (138) connected to an electrical load, electrically protected by a protection unit (140) and configured to allow the connection and potentially the driving and/or the surveillance of an electrical load. The electrical enclosure is controlled by an industrial computer (130). Each connection column comprises a communication module (134) which centralizes operating information originating from the monitoring-and-control units of that connection column, transmits this operating information to the industrial computer, receives commands originating from the industrial computer and transmits these commands to the monitoring-and-control units of that connection column. At least one communication module comprises a power supply board delivering at least one auxiliary voltage to each connection column

A network-based energy management system of managing electric vehicle (EV) charging network infrastructure is provided. The system comprises a gateway including one or more of an electric vehicle supply equipment (EVSE), a building automation system and any other independent controller. The gateway is configured for performing charging authorization, load management and/or demand response on an EVSE network using more than one communication channels including remote and/or local modes. The EVSE network includes two or more components from a group of components including a first EVSE, a controller, a second EVSE, the building automation system, a local server, a remote server and other energy management device.

Methods of microgrid communications and connection transitions are provided. The methods include methods of operating recloser and/or switch systems. The methods of operating recloser and/or switch systems include transmitting a communication from a recloser and/or switch system of a microgrid to an inverter of the microgrid to trigger a control state change of the inverter. Related methods of operating inverters are also provided.

Management methods and systems for energy and charging requests of an electric vehicle charging field are provided. First charging data corresponding to at least one first charging operation is received by a server from each of electric vehicle charging stations in a charging field via a network during a first predetermined period, wherein the charging data includes at least a charging start time, a charging period, and an output power. According to the first charging data corresponding to the at least one first charging operation received from each of the electric vehicle charging stations during the first predetermined period, the server generates an energy prediction data of the charging field in a second predetermined period, wherein the energy prediction data includes at least an energy consumption estimation of the charging field at a specific time point.

A power management system 1 is provided with an HEMS 500 connected to an SOFC unit 100 and a load 400. The power management system comprises: a reception unit 510 that acquires power consumption of the load; and a transmission unit 520 that notifies the SOFC unit 100 of pseudo power consumption that is obtained by adding a predetermined offset to the power consumption acquired by the a reception unit 510. The SOFC unit 100 controls power output from the SOFC unit 100 to follow the pseudo power consumption.