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 Laboratory of Energy and Geology, Portugal
    • Roozbeh Morsali, Swinburne University - Melbourne, Australia
    • Rainer Unland, University of Duisburg-Essen, Germany


Program Committee

  • Christian Derksen, Universität Duisburg-Essen, Germany
  • Costin Badica, University of Craiova, Romania
  • Fernando Lezama, Polytechnic Institute of Porto, Portugal
  • Fernando Lopes, LNEG National Research Institute, Portugal
  • Frank Allgower, University of Stuttgart, Germany
  • Helder Coelho, University of Lisbon, Portugal
  • Hugo Algarvio, Technical University of Lisbon, Portugal
  • Ingo Timm, University of Trier, Germany
  • Lars Monch, University of Hagen, Germany
  • Marcin Paprzycki, Polish Academy of Sciences, Poland
  • Nick Bassiliades, Aristotle University of Thessaloniki, Greece
  • Olivier Boissier, ENS Mines Saint-Etienne, France
  • Peter Palensky, TU Delft, The Netherlands
  • Rainer Unland, University of Duisburg-Essen, Germany
  • Ryszard Kowalczyk, Swinburne University of Technology, Australia
  • Tiago Pinto, University of Salamanca, Spain
  • Zita Vale, Polytechnic Institute of Porto, Portugal
  • Bo Nørregaard Jørgensen, University of Southern Denmark, Denmark
  • Matthias Klusch, Research Center for AI (DFKI), Germany
  • Miguel Lopez, University of Alcala, Spain
  • Georg Frey, Saarland University, Germany
  • Zheng Ma, University of Southern Denmark, Denmark
  • João Santana, University of Lisbon, Portugal

Contact

Fernando Lopes
fernando.lopes@lneg.pt

Roozbeh Morsali
rmorsali@swin.edu.au

Rainer Unland
unlandr@cs.uni-due.de