Information

Scope

The electrical power industry has evolved into a distributed and competitive industry in which market forces drive the price of energy. Deregulation led to the establishment of wholesale markets, where competing generators can offer their electricity output to retailers, and retail markets, where end-use customers can choose their suppliers. Electricity markets are indeed a complex and evolving reality, meaning that researchers lack insight into numerous open problems that are being raised. Chief among these is the need of new market designs to manage the variability and uncertainty of the increasing levels of renewable generation.

Also, future power systems will integrate a large number of distributed energy resources and new players. Smart Grids are intrinsically linked to the challenges raised by new power systems and are expected to improve their efficiency and effectiveness, while ensuring reliability and a secure delivery of electricity to end-users. They should be capable of autonomously and intelligently configuring themselves to make the most efficient use of the available resources, to be robust to different kinds of failures and energy production deviations, and to be extendable and adaptable in the face of the rapidly changing technologies and requirements.

The distributed nature of all these systems, and the autonomous behaviour expected for them, points towards software agents and multi-agent systems as a foundation for their realisation and deployment. Accordingly, the focus of this workshop is on the application of software agents and multi-agent systems to electricity markets for integrating variable renewable energy and emerging technologies, such as smart grids, distributed generation, demand response, storage, smart homes and electrical vehicles.


Keywords

electricity markets, renewable energy production, distributed generation, smart grids, demand response, electricity storage, smart homes, electrical vehicles, modelling and simulation, software agents, multi-agent systems


Topics

Topics of interest include, but are not limited, to the following:

  • Innovative Approaches to Energy Markets
  • Market Modelling and Simulation
  • Markets for Integrating Variable Renewable Energy
  • Market Monitoring and Forecasting Techniques
  • Coalitions and Alliances of Market Players
  • Impact of Distributed Generation on Markets
  • Markets to Incorporate Demand Response Methods
  • Computational Approaches to Distributed Generation and Storage
  • Agent-based methods for Demand Management
  • Smart Sensors and Advanced Metering Infrastructure
  • Intelligent Smart Grid Modelling
  • Intelligent Monitoring, Protection, Communication, Control or Diagnosis in Smart Grids
  • Applications of Agent-based Smart Grid technologies
  • Experiences with MAS-based Smart Grid implementations
  • Smart Homes and Smart Buildings
  • Agent-based Prediction, Adaption and Optimization of Energy use within Homes, Buildings and Organisations
  • Electrical Vehicles and Intelligent Management of Car Fleets
  • Agent-based Applications for Electrical Vehicles and Electrical Car Fleets
  • Interactions and Exchange between Networks for Electricity, Gas and Heat
  • Agent-based Load Modelling and Control
  • Agent-based Real Time Adaptation of Energy Networks
  • Other Computational Approaches to Energy Markets and Sustainable Energy Systems

Committee

Organizing Committee

  • Fernando Lopes - LNEG National Research Institute (Portugal)
  • Roozbeh Morsali - Swinburne university (Australia)
  • Rainer Unland - University of Duisburg-Essen & Poznan University of Economics and Business (Germany/Poland)


Program Committee

  • Andreas Symeonidis, University of Thessaloniki (Greece)
  • Anke Weidlich, Albert-Ludwigs-Universtität Freiburg (Germany)
  • Bo Nørregaard Jørgensen , Mærsk Mc-Kinney Møller Instituttet (Denmark)
  • Christian Derksen, Universität Duisburg-Essen (Germany)
  • Costin Badica, University of Craiova, Craiova (Romania)
  • David Sislak, Gerstner Laboratory (Czech Republic)
  • Edmund Widl, Austrian Institute of Technology (Austria)
  • Frank Allgöwer, Universität Stuttgart (Germany)
  • Gauthier Picard, ENS Mines Saint-Etienne (France)
  • Georg Frey, Universität des Saarlandes (Germany)
  • Giancarlo Fortino, Università della Calabria (Italy)
  • Hanno Hildmann, NEC Germany (Germany)
  • Hugo Algarvio, LNEG National Research Institute and IST (Portugal)
  • Hugo Morais, EDF - Electricité de France (France)
  • Ingo J. Timm, University of Trier (Germany)
  • Jan Ole Berndt, University of Trier (Germany)
  • Jan Sudeikat, Hamburg Energie GmbH (Germany)
  • Jan Treur, Vrije Universiteit Amsterdam (The Netherlands)
  • Lars Braubach, University of Hamburg (Germany)
  • Lars Mönch, Fernuniversität Hagen (Germany)
  • Marcin Paprzycki, Polish Academy of Sciences (Poland)
  • Maria Ganzha, Warsaw Technical University (Poland)
  • Matthias Klusch, DFKI (Germany)
  • Miguel Ángel López Carmona, University of Alcalá de Henares (Spain)
  • Nir Oren, University of Aberdeen (UK)
  • Olivier Boissier, École Nationale Supérieure des Mines de Saint-Étienne (France)
  • Paolo Petta, Austrian Research Institute for Artificial Intelligence (Austria)
  • Paulo Leitão, Polytechnic Institute of Bragança (Portugal)
  • Paulo Novais, Universidade do Minho (Portugal)
  • René Schumann, University of Applied Sciences (Switzerland)
  • Sascha Ossowski, Universidad Rey Juan Carlos (Spain)
  • Stamatis Karnouskos, SAP (Germany)
  • Steven Guan, Xian Jiatong-Liverpool University (China)
  • Tiago Pinto, Polytechnic Institute of Porto (Portugal)
  • Wolfgang Ketter, Rotterdam School of Management (The Netherlands)

Contact

Roozbeh Morsali
rmorsali@swin.edu.au

Rainer Unland
unlandr@cs.uni-due.de