Sonnenschein, MichaelTröschel, MartinLünsdorf, OntjePage, BerndFleischer, Andreas G.Göbel, JohannesWohlgemuth, Volker2019-09-162019-09-162013https://dl.gi.de/handle/20.500.12116/25844Future energy systems will increasingly rely on distributed and renewable energy sources (RES). Electrical feed-in of photovoltaic (PV) power plants and wind energy converters (WEC may vary greatly, the supply of electrical power from RES and the demand for electrical power are not per se matching. and in addition, with a growing share of generation capacity especially in distribution grids, the top-down paradigm of electricity distribution is gradually replaced by a bottom-up power supply. This altogether leads to new problems regarding a safe and reliable operation of power grids. In order to address these challenges, the notion of Smart Grids has been introduced. In this context, autonomous agents and the concept of self-organising systems are key elements in order to intelligently use the inherent flexibilities of distributed generators, power storage systems and power consumers. Our research goal is to optimise the local utilisation of RES feed-in in a given power grid by intelligently integrating both supply and demand management measures and with special respect to the electrical infrastructure. In this paper first we show how an intelligent load management system for battery charging/discharging of electrical vehicles EVs can increase the locally used share of supply from PV systems in a low voltage grid. For a reliable demand side management of large sets of appliances dynamic clustering is necessary. We show how control of such clusters can affect load peaks in distribution grids. Additionally we give a short overview how we are going to expand an attempt of self-organised clusters of units to a virtual control centre for a dynamic virtual power plant.Text/Conference Paper