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Mr Matthias Pilz

Research project: Smart Energy: Game-Theoretic Approach to Trading in Prosumer Communities

Abstract

The global move towards efficient energy consumption and production has led to remarkable advancements in the design of the smart grid infrastructure. However, the potential of the smart grid remains limited without the integration of renewable energy resources. Energy trading is one way forward. This refers to the transfer of energy from an entity producing surplus energy to one with a deficit. Two aspects are of major importance: (i) preserving each entities privacy, and (ii) adopting a method that represents the decentralised nature of the smart grid architecture. In this project we address both of these aspects by utilising Bayesian game theory. It models individual knowledge for their players and is inherently decentralised.

Biography

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Areas of research interest

  • Game Theory
  • Energy Management
  • Smart Grid
  • Energy Trading

Qualifications

  • MSc in Theoretical Physics, Numerical Relativity Group, University of Jena, Germany
  • BSc in Physics, University of Jena, Germany

Funding or awards received

  • Doctoral Training Alliance (DTA) Energy - fully funded PhD studentship (2016-2019)
  • Best Paper Award - International Research Conference on Sustainable Energy, Engineering, Materials and Environment 2017
  • Best Short Speech - Winter Kindergarten of Theoretical Physics 2016
  • Best Poster - Winter Kindergarten of Theoretical Physics 2015
  • Erasmus Scholarship - (2012-2013)

Publications

  • Matthias Pilz, Luluwah Al-Fagih; "Recent Advances in Local Energy Trading in the Smart Grid Based on Game-Theoretic Approaches"; IEEE Transactions on Smart Grid; DOI: 10.1109/TSG.2017.2764275; 2017
  • Pilz, M.; Al-Fagih, L.; Pfluegel, E.. Energy Storage Scheduling with an Advanced Battery Model: A Game–Theoretic Approach. Preprints 2017, 2017110069 (doi: 10.20944/preprints201711.0069.v1).

Conference papers

  • Matthias Pilz, Luluwah Al-Fagih, Eckhard Pfluegel; "A Game-Theoretic Approach to Energy Storage Scheduling for Households in a Smart Grid"; International Research Conference on Sustainable Energy, Engineering, Materials and Environment; Newcastle upon Tyne; 2017
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