Siemens Aktiengesellschaft

Arvid Amthor

Sebastian Thiem

Michael Metzger

Sebastian Schreck

Lisa Wagner

Thomas Baumgärtner

Mathias Duckheim

Stefan Niessen

Markus Reischböck

Oliver Dölle

Thomas Schütz

Robin Sudhoff

Various embodiments include a control apparatus for controlling a power consumption and/or a power output of an energy system via a network connection point of a low-voltage network, wherein a line voltage can be detected at the network connection point by the control apparatus. The control apparatus comprises a processor programmed to reduce the power consumption and/or to increase the power output if the line voltage is below a first threshold value and/or to increase the power consumption and/or to reduce the power output if the line voltage is above a second threshold value greater than the first threshold value.

Control apparatus and method for controlling a power consumption and/or a power output of an energy system, and low-voltage network

Various embodiments of the teachings herein include methods for operating an energy management system of a grid participant electrically connectable to an electrical grid at a grid connection point comprising: a) receiving data from an electricity exchange characterizing a remuneration for a first service provided to the electrical grid by the grid participant and/or a second service obtained by the grid participant from the electrical grid; b) determining a load profile for the grid participant as a function of the received data, wherein the energy management system at least temporarily operates the grid participant according to the determined load profile so the grid participant provides the power to the electrical grid and/or obtains the power from the electrical grid; and c) transmitting the load profile to the electricity exchange.

Method for operating an energy management system, electronic computing device for carrying out the method, computer program, and data carrier

Various embodiments include a method for controlling an exchange of energy in an energy system with multiple energy subsystems connected to one another for exchanging energy comprising: receiving first supply data at a control center from a first subsystem, wherein the first supply data represent respective remuneration conditions of the first subsystem for receiving and/or providing energy; transmitting the first supply data to a second subsystem; receiving second supply data at the control center, the second supply data responsive to the first supply data, from the second subsystem, wherein the second supply data represent respective remuneration conditions of the second subsystem for receiving and/or providing energy, and controlling an energy exchange between the first subsystem and the second subsystem based on both the first supply data and the second supply data.

Method for controlling an exchange of energy in an energy system, control center, energy system, and storage medium

Various embodiments include a method for controlling an exchange of energy in an energy system having multiple energy subsystems each connected to one another for the purpose of exchanging energy, the method comprising: receiving respective supply data at a control center from the energy subsystems, wherein the supply data comprise respective remuneration conditions of the applicable energy subsystem for receiving and/or providing energy; determining optimum conditions on the basis of the supply data of the energy subsystems; and controlling the exchange of energy between the energy subsystems on the basis of the optimum conditions with the control center.

Method for controlling an exchange of energy between energy sub-systems in adjusted harmonised conditions; control centre; energy system; computer program; and storage medium

Systems and methods for probability forecasts and an energy transmission and/or energy distribution network are provided. Operational management may be carried out using a network control system with systematic consideration of forecast uncertainties. The probability of a distribution network being operable in a stable manner (e.g., with N-1 certainty) in a planning period is included. The system includes a forecaster for forecasts for a planning period, a forecast analyzer connected to the forecasts from the at least one forecaster, and elements for further information for outputting estimated forecast uncertainties. The system also includes a stability probability analyzer connected to the forecasts from the at least one forecaster, the estimated forecast uncertainties from the forecast analyzer, and elements for further information for outputting at least one item of information relating to an N-1 stability of the distribution network in the planning period.

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Grabfeld OT Nordheim, Germany

Arvid Amthor