The central voltage control device includes a power-distribution estimating unit to estimate a power distribution in the power distribution line on the basis of first received measurement information, a voltage-distribution estimating unit to estimate a voltage distribution of the power distribution line on the basis of the power distribution, a tap-position determining unit to determine a tap position of the voltage controller when a voltage deviates from the proper voltage range in the voltage distribution, and a correcting unit to correct the power distribution in the power distribution line on the basis of the received deviation information. When the power distribution is corrected, the voltage-distribution estimating unit estimates the voltage distribution using the corrected power distribution.

A control circuit system for influencing at least one process variable includes a plurality of sensors which each detect at least one measurement variable, a plurality of actuators which each manipulate at least one control variable, wherein the sensors and actuators are each assigned electronic circuits for control, and at least one control mechanism which controls and/or coordinates each of the plurality of sensors and actuators by means of at least one control unit. The control circuit system is sub-divided into a plurality of sub-units which are each provided with at least one sensor, at least one actuator and at least one control unit, and for a plurality of the sub-units, in particular all of the sub-units, each to be set up to operate a control circuit system.

Systems, methods, and apparatus embodiments are described herein for designing, implementing, and maintaining energy systems, such as microgrids for example.

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.

Methods and systems for controlling electrical distribution grids. The method includes determining premises in an electrical distribution grid that include an energy resource. The method further includes determining a configuration of the electrical distribution grid including a micro-grid, the micro-grid including the one or more premises. The method further includes electrically isolating, monitoring and controlling the micro-grid from the electrical distribution grid through the use of a micro-grid manager.

A voltage-adjusting device is provided for adjusting voltages of one or more power domains in a chip. The device includes a distributing system, and a voltage-adjusting system. The distributing system obtains task information for the one or more power domains, obtains a forecasted voltage and a detected voltage for a power domain, and obtains a control system for the power domain for controlling a voltage applied on the power domain based on the forecasted voltage and the detected voltage. The forecasted voltage is a voltage required for the power domain to execute a task. Further, the voltage-adjusting system is connected to the distributing system and the one or more power domains, adjusts the voltage applied on the power domain based on the control signal such that the detected voltage reaches the forecasted voltage when the power domain executes a task.

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 method (100) for demand shaping through load shedding and shifting in an electrical smart grid.

Systems and methods dynamically assess energy efficiency by obtaining a minimum energy consumption of a system, receiving in a substantially continuous way a measurement of actual energy consumption of the system, and comparing the minimum energy consumption to the measurement of actual energy consumption to calculate a substantially continuous energy performance assessment. The system further provides at least one of a theoretical minimum energy consumption based at least in part on theoretical performance limits of system components, an achievable minimum energy consumption based at least in part on specifications for high energy efficient equivalents of the system components, and the designed minimum energy consumption based at least in part on specifications for the system components.

An electricity demand prediction system includes electricity usage data collection means, production schedule storage means, model creation means, and short-term electricity demand prediction means. The electricity usage data collection means collects electricity usage data of each device and causes electricity usage data storage means to store the collected electricity usage data. The model creation means creates an electricity amount calculation model of each prescribed product type for each device on the basis of the electricity usage data stored in the electricity usage data storage means and a past production schedule stored in the production schedule storage means. The short-term electricity demand prediction means computes future electricity demand for each device on the basis of the electricity amount calculation model created by the model creation means and a future production schedule stored in the production schedule storage means.