Abstract: Various embodiments of the teachings herein include a computer-assisted energy management method for an energy system, in which an operation of the energy system is regularly simulated according to a set call time interval for a set time horizon with a set time increment, comprising: determining whether a first parameter changes; performing an additional simulation of the operation of the energy system deviating from the set call interval based on the changed parameter; and/or within at least one critical time range in which a value of the first parameter is above a threshold value, performing a regular simulation which falls within the critical time range with a time increment which is smaller or greater than the set time increment; an operating the energy system according to either the additional simulation or the regular simulation.

Abstract: Various embodiments of the teachings herein include an energy system comprising: a central control unit; and an energy subsystem including an energy storage unit having a total storage capacity. The central control unit is programmed to control the energy storage unit based on an optimization. The total storage capacity of the energy storage unit is divided into a first partial storage capacity and a second partial storage capacity by the control unit for the optimization. The first partial storage capacity is designated for internal use with respect to the energy subsystem. The second partial storage capacity is designated for external use with respect to the energy subsystem.

Abstract: 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.

Abstract: Various embodiments of the teachings herein include a device for controlling energy flows between components of an energy system with an energy accumulator comprising a controller for adjusting the energy flows. The controller computes the energy flows beforehand for a time domain using an optimization method, the time domain having a beginning and an end. A charge level of the energy accumulator at the end of the time domain is essentially equal to a charge level of the energy accumulator at the beginning of the time domain.

Abstract: Various embodiments include a computer-aided method for simulating the operation of an energy system with a component comprising: modeling the energy system as an optimization problem with energy consumptions and energy outputs of the component and respective shadow prices associated with the energy consumptions and energy outputs as optimization variables; calculating the energy consumptions, the energy outputs, and the respective associated shadow prices by numerically solving the optimization problem; calculating a first sum of the energy consumptions weighted with the associated shadow prices; calculating a second sum of the energy outputs weighted with the associated shadow prices; calculating an incorrect dimensioning variable of the component by subtracting the second sum from the first sum, and using the investment costs and operating costs of the component; and determining overdimensioning or underdimensioning of the component as a function of the calculated incorrect dimensioning variable.

Abstract: 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.

Abstract: 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.

Abstract: Various embodiments include a method for determining a design of an energy system comprising: providing a plurality of values of a parameter of an optimization method using an extraction of the values according to a probability distribution of the parameter; specifying a respective single-target function of the energy system for each of the plurality of values; forming an overall target function using the single-target functions; and extremizing the overall target function using the optimization method.

Abstract: Various embodiments include a method for designing a multimodal energy system having a plurality of components comprising: providing a first plurality of parameters; stipulating a second plurality of secondary conditions; stipulating a target function; defining a critical operating state of the multimodal energy system; and extremalizing the target function on the basis of the first plurality of parameters, the second plurality of secondary conditions, and the critical operating state using an optimization method.

Abstract: Various embodiments include a method for regulating an electrical power transfer between two power supply units and a power consumption unit comprising: providing a first data set with information regarding a minimum and maximum electrical power supply rate for each of the two power supply units; providing a second data set with information regarding a power requirement of the power consumption unit and a weighting of each of the power supply units; providing a target function for an optimization method, wherein the target function includes the first data set, the second data set, and the weightings of the power supply units as parameters; and regulating the power transfer by means of an extremalization of the target function.

Abstract: Provided is a method for ascertaining an optimum strategy, having the following steps: a controller receiving at least one input value and an operating state of at least one installation unit of an installation, the controller performing an FDP algorithm to optimise a parameter on the basis of the at least one input value and the operating state, wherein the installation behaviour of the installation is predicted for a predefined plurality of strategies for a particular period of time, ascertaining an optimum strategy from the predefined plurality of strategies by taking into consideration at least one termination condition, and applying the optimum strategy to the at least one installation unit. Further, embodiments of the invention relates to a model-predictive controller and to a computer program for performing the method steps.