Título: Towards an electricity market simulator
Autores: Trigo, Paulo
Marques, Paulo
Coelho, Helder
Fecha: 2009-11-20
2009-11-20
2009-05
Publicador: RUA Docencia
Fuente:
Tipo: info:eu-repo/semantics/article
Tema: Electricity market modeling
Multi-agent modeling and design
Multi-agent based simulation
Sequential decision process
Adaptation and learning
Ciencia de la Computación e Inteligencia Artificial
Descripción: This paper describes a multi-agent based simulation (MABS) framework to construct an artificial electric power market populated with learning agents. The artificial market, named TEMMAS (The Electricity Market Multi-Agent Simulator), explores the integration of two design constructs: i) the specification of the environmental physical market properties, and ii) the modeling of the decision-making (deliberative) and reactive agents. TEMMAS is materialized in an experimental setup involving distinct power generator companies which operate in the market and search for the trading strategies that best exploit their generating units’ resources. The experimental results show a coherent market behavior that emerges from the overall simulated environment.
Idioma: Inglés

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