Load Control Timescales Simulation in a Multi-Agent Smart Grid Platform

Pedro Oliveira, Luis Gomes, Tiago Pinto, Pedro Faria, Zita Vale, Hugo Morais

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Abstract

Environmental concerns and the shortage in the fossil fuel reserves have been potentiating the growth and globalization of distributed generation. Another resource that has been increasing its importance is the demand response, which is used to change consumers’ consumption profile, helping to reduce peak demand. Aiming to support small players’ participation in demand response events, the Curtailment Service Provider emerged. This player works as an aggregator for demand response events. The control of small and medium players which act in smart grid and micro grid environments is enhanced with a multi-agent system with artificial intelligence techniques – the MASGriP (Multi-Agent Smart Grid Platform). Using strategic behaviours in each player, this system simulates the profile of real players by using software agents. This paper shows the importance of modeling these behaviours for studying this type of scenarios. A case study with three examples shows the differences between each player and the best behaviour in order to achieve the higher profit in each situation.
Original languageEnglish
Title of host publicationProceedings of IEEE PES Innovative Smart Grid Technologies (ISGT) Europe
Number of pages5
PublisherIEEE
Publication date2013
DOIs
Publication statusPublished - 2013
Event2013 4th IEEE PES Innovative Smart Grid Technologies Europe - Technical University of Denmark (DTU), Lyngby, Denmark
Duration: 6 Oct 20139 Oct 2013
Conference number: 4
http://www.ieee-isgt-2013.eu/

Conference

Conference2013 4th IEEE PES Innovative Smart Grid Technologies Europe
Number4
LocationTechnical University of Denmark (DTU)
CountryDenmark
CityLyngby
Period06/10/201309/10/2013
Internet address

Keywords

  • Artificial Intelligence
  • Demand Response
  • Micro grid
  • Multi-agent Simulation
  • Smart Grid

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