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Smart Grids for Optimised Utilisation of Renewable Energy Supply

Sonnenschein, Michael (University of Oldenburg)
Search for Michael Sonnenschein in Research Programmes Information System
Tröschel, Martin (OFFIS Institute for Information Technology, Oldenburg)
Search for Martin Tröschel in Research Programmes Information System
Lünsdorf, Ontje (OFFIS Institute for Information Technology, Oldenburg)
Search for Ontje Lünsdorf in Research Programmes Information System
Chapter Smart Grids
Volume Proceedings of the 27th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management
Conference Environmental Informatics and Renewable Energies
Hamburg, 2013
Year 2013
Abstract of the Article
Future 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.
Pages 178 - 187
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