A peak shaving control method for emergent source-grid coordination in case of a faulty sending-end power grid. The method includes: S1: evaluating dispatchability of a cluster virtual wind power unit; S2: developing a method for calculating a dispatchability index of the cluster virtual wind power unit; S3: analyzing a source-load peak-shaving resource strategy; and S4: distributing a control strategy for tie-line peak shaving. The present disclosure has the following beneficial effects: In the present disclosure, real-time dispatchability of wind power participating in real-time power balance is first analyzed, specific evaluation indexes and calculation methods are provided, and calculation examples are given for verification. Then, an optimized real-time dispatch strategy is provided based on demand-side response resources, and DC and AC tie-lines are coordinated for operation. The peak shaving control method for emergent source-grid coordination when a sending-end power grid is faulty can ensure normal operation.

A system permits wirelessly controlling the duty cycle of alternating current at a wall electrical outlet (152) remote from a wall electrical outlet (144) which is controlled by a wall switch (142).

A method monitors an operating state of an energy supply network. Measurement values indicating an operating state are detected using sensors which are provided at measurement points paired with primary components of the energy supply network, and a visualization indicating the operating state of the energy supply network at each measurement point is generated using a monitor. The aim is to minimize the configuration and parameterization complexity for the operator of the energy supply network. The measurement values are transmitted from the sensors to an application server. The measurement values are analyzed, thereby forming system status values, the system status values indicating the operating state of the energy supply network at the measurement points. The system status values are transmitted to the monitoring device and a visualization which indicates the operating state of the energy supply network is generated by the monitoring device using the system status values and displayed.

The present invention is directed to systems and methods for establishing and maintaining constraints on automated experimentation systems and the permissible ranges for experimentation. Methods and systems of the invention evaluate the available controls, generate a multi-dimensional space representing the combinations of controls, and analyze operational data to determine which points in the multidimensional space are permissible states for the controlled system. Optionally, some embodiments feature a user interface for manipulating or altering the constraints. The constrained multidimensional space is used in automated experimentation through selection of points in the multidimensional space for use in experimental trails.

A centralized voltage controller connected, via a communication network, to local voltage control units controlling voltage controllers, which are connected to a distribution line of a distribution system and control voltage of the distribution line, has: a voltage distribution determination unit calculating a controlled amount for each first voltage controller to be controlled among the plurality of voltage controllers, based on a measured value of voltage at each point of the distribution line; a tap position determination unit generating a command value to be given to each local voltage control unit based on the controlled amount; and a control state determination unit determining whether each voltage controller is a second voltage controller that fails to perform control according to the command value, and setting the voltage controllers except the second voltage controller to be the first voltage controller.

A selectivity module for dividing a load current in an installation system includes a housing, a plurality of branches in the housing, a plurality of switching devices, and a control unit. Each of the plurality of switching devices is configured for switching a branch current on and off in a corresponding one of the plurality of branches. The plurality of switching devices serves to output information about corresponding switching states. The control unit is connected to the plurality of switching devices and configured to output a status signal as a function of the output information from the plurality of switching devices. The output information relating to the individual switching states of all of the plurality of switching devices is contained in the status signal in a serial encoded form.

A method for configuring a distribution grid with smart communication devices has steps of assuming specific communication technologies to be considered for intermediate intelligent communication devices in the distribution grid, assuming number and location of smart distribution nodes (SDNs) in the distribution grid, executing a cost optimal calculation model determining exact quantity and specific technology of intelligent communication devices at intermediate nodes, nt=n1; n2:::nj with minimal cost subject to Quality of Service (QoS) parameters of each technology and QoS requirement of a data packet generated by a Smart Consumer Node (SCN) at a smart building in the distribution grid, and placing and powering the determined number and specific communication technology of intelligent communication devices at the SDNs of the distribution grid.

The apparatuses and methods herein facilitate generation of energy-related revenue for an energy customer of an electricity supplier, for a system that includes an energy storage asset. The apparatuses and methods herein can be used to generate operating schedules for a controller of the energy storage asset. When implemented, the generated operating schedules facilitates derivation of the energy-related revenue, over a time period T, associated with operation of the at least one energy storage asset according to the generated operating schedule. The energy-related revenue available to the energy customer over the time period T is based at least in part on a wholesale electricity market.

A control device has a monitoring section that monitors an amount of electric energy of a first machine, and a power supply controller that controls power supply of a second machine in accordance with an amount of electric energy of the first machine and schedule information indicative of an operation schedule of each of the first machine and the second machine.

A load power device includes a power input; at least one power output for at least one load; and a plurality of sensors structured to sense voltage and current at the at least one power output. A processor is structured to provide real-time execution of: (a) a plurality of load identification algorithms, and (b) event detection and operating mode detection for the at least one load.