The demands on electrical distribution grids are increasing significantly due to the rising number of powerful consumers and decentralized generation plants. These growing demands lead to local grid bottlenecks that cannot be resolved through centralized markets alone, requiring the development of new market concepts [1]. Local trading platforms enable both the trading of energy between end customers and the activation of grid-supportive flexibility between end customers and grid operators. To participate in local trading platforms, active marketing is required, involving the provision of schedules for trading energy and flexibility. Potential deviations caused by conventional loads that are challenging to forecast and uncertainties in weather forecasts that affect the local energy generation from renewable energies must be taken into account. The integration of schedule data in real-time control processes offers the potential to mitigate deviations from schedules through the use of flexibility in operation, thus enabling the effective implementation of local market concepts.
This article presents the software requirements, implementation and potential of combined planning and real-time control for domestic energy systems using prosumer agents. The application scenario focuses on an integrated platform for peer-to-peer energy trading in combination with active grid management at the distribution grid level [2]. The control is achieved through energy agents capable of performing both reactive and proactive tasks while interacting with energy systems [3]. Results of a field test conducted in a real low-voltage grid at the Smart Grid Laboratory at the University of Wuppertal demonstrate that combining planning and real-time control enables prosumer agents to participate in local energy and flexibility markets in a manner that is both grid-friendly and economically advantageous.
