A management device is connected to an AC power line provided with a plurality of connection ports, each of which can be connected to an electric device including a power storage unit. The management device includes a measurement unit configured to measure an electric signal on the AC power line, a determination unit configured to determine a type of the electric device connected to the AC power line via a connection port in the plurality of connection ports based on a measurement result of the measurement unit, and a first prediction unit configured to predict an amount of power supply on the AC power line due to discharge of the power storage unit based on a determination result of the determination unit.

A monitoring and load controlling system for a switchboard, according to one embodiment of the present specification, comprises: a gateway which acquires respective temperature information of circuit breakers included in a switchboard, and respective current amount information of lines corresponding to the circuit breakers, acquires respective capacity information of the circuit breakers on the basis of the acquired temperature information, and, on the basis of the acquired capacity information and current amount information, detects a circuit breaker corresponding to a line in need of load regulation; and a load controlling device which regulates the load of said line by stopping the operation of at least one device among devices connected to the detected circuit breaker.

The present application relates to autonomous and/or real-time monitoring of power transmission devices using an unmanned vehicle. The unmanned vehicle may have a modular payload that controls the unmanned vehicle's positioning and orientation. The modular payload may include processing circuitry that controls data acquisition and perform processing of the collected data. Processing of the collected data may include determinations of the type of power transmission device being monitored and/or determinations of the operational status of the power transmission device being monitored. Communication between the autonomous vehicle and/or payload and the power transmission device may be established using radiofrequency data links.

The present disclosure provides a computer-implemented method for ranking one or more control schemes for controlling peak loading conditions and abrupt changes in energy pricing of one or more built environments associated with renewable energy sources. The computer-implemented method includes analysis of a first set of statistical data, a second set of statistical data, a third set of statistical data, a fourth set of statistical data and a fifth set of statistical data. Further, the computer-implemented method includes identification and execution of the one or more control schemes. In addition, the computer-implemented method includes scoring the one or more control schemes by evaluating a probabilistic score. Further, the computer-implemented method includes ranking the one or more control schemes to determine relevant control schemes for controlling real time peak loading conditions and abrupt changes in energy pricing associated with the one or more built environments.

A method for controlling the rebuilding of an electrical supply network, wherein the electrical supply network has a first network section and at least one further network section, at least one wind farm is connected to the first network section, the wind farm can be controlled via a wind farm control room, the first network section is coupled to the at least one further network section via at least one switching device in order to transmit electrical energy between the network sections, the at least one switching device is set up to disconnect the first network section from the at least one further network section in the event of a fault, a network control station is provided for the purpose of controlling the at least one switching device, wherein, in the event of a fault during which a network fault acting on the first network section occurs, the first network section is disconnected from the at least one further network section by the at least one switching device, the wind farm control room interchanges data with the network control station via a control room connection, wherein the control room connection is a failsafe communication connection between the wind farm control room and the network control station and can be operated independently of the electrical supply network, in particular can be operated even in the case of the fault in the first network section, and the wind farm receives data from the network control station via a wind farm connection, wherein the wind farm connection is a failsafe communication connection between the wind farm and the network control station and can be operated independently of the electrical supply network, in particular can be operated even in the case of the fault in the first network section, and further data which are not transmitted via the control room connection and are not transmitted via the wind farm connection are transmitted via a further data connection provided that the latter has not failed.

According to an aspect, there is provided a computer device configured to control charging currents of at least a first charging station of an electric vehicle and at least a second charging station of an electric vehicle by internet based communications, wherein the charging stations are from different manufacturers, and wherein the charging stations are wirelessly coupled to the computer device.

This disclosure generally relates to a rechargeable battery for electric vehicles. The rechargeable battery may include a housing that includes a first temperature sensor to sense a first temperature of a first power connection terminal of the rechargeable battery and a second temperature sensor within the housing to sense a second temperature of a second power connection terminal of the rechargeable battery. The rechargeable battery may also include a battery management system located within the housing, where the battery management system causes a reduction in an amount of current through at least one of the first power connection terminal or the second power connection terminal when a temperature associated with at least one of the first power connection terminal or the second power connection terminal exceeds a threshold.

A load control system may include multiple control devices that may send load control messages to load control devices for controlling an amount of power provided electrical loads. To prevent collision of the load control messages, the load control messages may be transmitted using different wireless communication channels. Each wireless communication channel may be assigned to a load control group that may include control devices and load control devices capable of communicating with one another on the assigned channel. A control device may send load control messages to a load control device within a transmission frame allocated for transmitting load control messages. The transmission frame may include equal sub-frames and load control messages may be sent at a random time within each sub-frame. Control devices may detect a status event within a sampling interval to offset transmissions from multiple control devices based on detection of the same event.

A computer-implemented method and system is provided. The system manipulates load curves corresponding to time-variant energy demand and consumption of a built environment. The system analyzes a first, second, third, fourth and a fifth set of data. The first set of data is associated with energy consuming devices. The second set of data is associated with an occupancy behavior of users. The third set of data is associated with energy storage and supply means. The fourth set of data is associated with environmental sensors. The fifth set of data is associated with energy pricing models. The system executes control routines for controlling peak loading conditions associated with the built environment. The system manipulates an optimized operating state of the energy consuming devices. The system integrates the energy storage and supply means for optimal reduction of the peak level of energy demand concentrated over the limited period of time.

A system and method for determining a reliability line rating for a transmission line is disclosed. In response to a line clearance measurement and a line temperature measurement received from a transmission line monitor coupled to a transmission line, the system generates a temperature-clearance model for the transmission line based on the received line clearance measurement and line temperature measurement. The system generates a plurality of past dynamic line ratings and determines a scaling factor based on the plurality of past dynamic line ratings. The system then generates a dynamic line rating for an interval of time in the future and scales the dynamic line rating in response to the scaling factor to obtain a reliability line rating for the interval.