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Abstract

Electric power production infrastructures around the globe are shifting from centralised, controllable production to decentralised structures based on distributed microgeneration. As the share of renewable energy sources such as wind and solar power increases, electric power production becomes subject to unpredictable and significant fluctuations. This paper reports on formal behavioural models of future power grids with a substantial share of renewable, especially photovoltaic, microgeneration. We give a broad overview of the various system aspects of interest and the corresponding challenges in finding suitable abstractions and developing formal models. We focus on current developments within the German power grid, where enormous growth rates of microgeneration start to induce stability problems of a new kind. We build formal models to investigate runtime control algorithms for photovoltaic microgenerators in terms of grid stability, dependability and fairness. We compare the currently implemented and proposed runtime control strategies to a set of approaches that take up and combine ideas from randomised distributed algorithms widely used in communication protocols today. Our models are specified in Modest, an expressive modelling language for stochastic timed systems with a well-defined semantics. Current tool support for Modest allows the evaluation of the models using simulation as well as model-checking techniques.

Keywords

Electric Power Transmission Control Protocol Power Grid Safe State Grid State 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Arnd Hartmanns
    • 1
  • Holger Hermanns
    • 1
  1. 1.Computer ScienceSaarland UniversitySaarbrückenGermany

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