Provided is an electric power supply and demand control apparatus (10) including a remaining battery level acquisition unit (11) and a setting unit (12), in order to solve the aforementioned problems. The remaining battery level acquisition unit (11) acquires remaining battery level information indicating a remaining battery level of a storage battery of a consumer. The setting unit (12) sets an expectation value of a reduction in power purchase from a system performed by the consumer, on the basis of the remaining battery level information acquired by the remaining battery level acquisition unit (11). For example, a high expectation value is set for a consumer whose storage battery has a large remaining battery level. According to the present invention, it is possible to create an appropriate plan of a request for a reduction in a power purchase quantity, on the basis of the expectation value of the reduction in power purchase for each consumer determined on the basis of the remaining battery level of a storage battery of the consumer.

A method and device for configuring an intelligent electronic device, IED, hosting a logical node instance are provided. Incoming signals of the IED are bound to inputs of a function, the function being performed by the logical node instance in operation of an industrial automation control system, IACS. To bind the incoming signals to the inputs of the function, a computing device determines, based on an input data template of the logical node instance, which data is required by the logical node instance to perform the function. The computing device determines, using process related information of the IACS, source IEDs of the IACS that provide the data required by the logical node instance to perform the function.

The present invention provides a series compensator and a control method. The series compensator includes a series transformer, a series transformer bypass device, a voltage source converter, a high-speed converter bypass device, a high-speed switch, and a reactor. The reactor and the high-speed switch are connected in parallel to form a current limiting module; one winding of the series transformer has two ends connected in series to a line, and the other winding thereof is sequentially connected to the current limiting module and the high-speed converter bypass device; the voltage source converter and the high-speed converter bypass device are connected in parallel; and at least one winding of the series transformer are connected in parallel to at least one series transformer bypass device. The series compensator of the present invention indirectly provides the current limiting module, so as to effectively limit the short-circuit current of a system, reduce the fault current to which the compensator is subjected, and improve the reliability of an alternating current system and the series compensator. Moreover, the current limiting module has a low voltage level, and the high-speed switch has a small breaking current, thereby providing good industrial applicability.

Systems and methods manage electrical loads in a grid by applying Robust principal component analysis (R-PCA) to decompose annual load profiles into low-rank components and sparse components; extracting one or more predetermined features; constructing a similarity graph; selecting submodular cluster centers through the constructed similarity graph; determining a cluster assignment based on selected centers; and applying the clustering assignment for load analysis.

A method for analyzing power quality events in an electrical system includes processing electrical measurement data from or derived from energy-related signals captured by at least one metering device in the electrical system to generate at least one dynamic tolerance curve. Each dynamic tolerance curve of the at least one dynamic tolerance curve characterizes a response characteristic of the electrical system at a respective metering point in the electrical system. The method also includes analyzing the at least one dynamic tolerance curve to identify special cases which require further evaluation(s)/clarification to be discernable and/or actionable. The at least one dynamic tolerance curve may be regenerated or updated, and/or new or additional dynamic tolerance curves may be generated, to provide the further clarification. One or more actions affecting at least one component in the electrical system may be performed in response to an analysis of the curve(s).

A control system (300) allows recognized standard premise electrical outlets, for example NEMA, CEE and BS, among others to be remotely monitored and/or controlled, for example, to intelligently execute blackouts or brownouts or to otherwise remotely control electrical devices. The system (300) includes a number of smart receptacles (302) that communicate with a local controller (304), e.g., via power lines using the TCP/IP protocol. The local controller (304), in turn, communicates with a remote controller (308) via the internet.

A method performs state estimation of a distribution network based on real time measurement values. The method includes calculating load scaling factors at least for non-redundantly measurable parts of the distribution network, determining whether each of the load scaling factors related to a non-redundantly measurable part of the distribution network is within a given range (RLSF), and discarding the measurement values related to the corresponding scaling factor for all load scaling factors outside the given range (RLSF). The network state of the distribution network is then estimated based on the remaining measurement values.

A system includes a database storing demand response data, the demand response data including demand response agreement parameters, demand response load and energy demand characteristics of one or more demand response customers, the demand response load characteristics including power consumption capacity of each of one or more demand response loads, an aggregator to aggregate the demand response loads based on the demand response data and forecast data into a demand response portfolio, a monitor to monitor power demand of one or more demand response customers and one or more power grids, and a dispatcher to notify the one or more demand response customers of the demand response portfolio and to notify a utility of a response from the one or more demand response customers whether to control the demand response load to return the power consumption capacity of the demand response load back to the one or more power grids.

The invention relates to a circuit arrangement, having: a comparator device for comparing a value of an electrical input voltage with an upper threshold value and/or with a lower threshold value; an increasing device for increasing an electrical output voltage if the comparison by the comparator device shows that the value of the input voltage is greater than the upper threshold value; and a reducing device for reducing the electrical output voltage if the comparison shows that the value of the input voltage is less than the lower threshold value.

Performance of a decision-making logic (35) of a controller (31) of an industrial automation control system is monitored during field operation of the controller (31). A supervisory system (20) receives operational data collected during field operation of the controller (31). The supervisory system performs an analysis of the operational data to assess performance of the decision-making logic (35), using pre-operational data generated prior to field operation of the controller (31) and/or a performance assessment logic (27) generated prior to field operation of the controller (31). The supervisory system (20) generates an analysis output based on a result of the analysis