MASCEM Restructuring: Ontologies For Scenarios Generation in Power Systems Simulators

Gabriel Santos, Tiago Pinto, Zita Vale, Hugo Morais, Isabel Praca

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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Abstract

The electricity market restructuring, along with the increasing necessity for an adequate integration of renewable energy sources, is resulting in an rising complexity in power systems operation. Various power system simulators have been introduced in recent years with the purpose of helping operators, regulators, and involved players to understand and deal with this complex environment. This paper focuses on the development of an upper ontology which integrates the essential concepts necessary to interpret all the available information. The restructuring of MASCEM (Multi-Agent System for Competitive Electricity Markets), and this system’s integration with MASGriP (Multi-Agent Smart Grid Platform), and ALBidS (Adaptive Learning Strategic Bidding System) provide the means for the exemplification of the usefulness of this ontology. A practical example is presented, showing how common simulation scenarios for different simulators, directed
to very distinct environments, can be created departing from the proposed ontology.
Original languageEnglish
Title of host publicationIEEE Power and Energy Society General Meeting 2013
Number of pages5
PublisherIEEE
Publication date2013
ISBN (Print)978-1-4799-1303-9
Publication statusPublished - 2013
Externally publishedYes
Event2013 IEEE Power and Energy Society General Meeting - Vancouver, Canada
Duration: 21 Jul 201325 Jul 2013

Conference

Conference2013 IEEE Power and Energy Society General Meeting
CountryCanada
CityVancouver
Period21/07/201325/07/2013

Keywords

  • Electricity Markets Simulation
  • Multi-Agent Systems
  • Ontology
  • Power System Simulation
  • Scenarios generation

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