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MASCEM Restructuring: Ontologies For Scenarios Generation in Power Systems Simulators
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Orientador(es)
Resumo(s)
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.
Descrição
Palavras-chave
Electricity Markets Simulation Multi-agent Systems Ontology Power System Simulation Scenarios Generation
Contexto Educativo
Citação
Editora
IEEE