Virtual power producers market strategies

Morais, H.; Cardoso, Marilio; Khodr, H. M.; Praça, Isabel; Vale, Zita

http://hdl.handle.net/10400.22/1513

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Resumo(s)

This paper presents MASCEM - a multi-agent based electricity market simulator. MASCEM uses game theory, machine learning techniques, scenario analysis and optimisation techniques to model market agents and to provide them with decision-support. This paper mainly focus on the MASCEM ability to provide the means to model and simulate Virtual Power Producers (VPP). VPPs are represented as a coalition of agents, with specific characteristics and goals. The paper detail some of the most important aspects considered in VPP formation and in the aggregation of new producers and includes a case study.

Palavras-chave

Distributed generation Electricity markets Intelligent agents coalitions Virtual power producers

URI

http://hdl.handle.net/10400.22/1513

Editora

IEEE

Coleções

ISEP – GECAD – Comunicações em eventos científicos

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