MASCEM - An Electricity Market Simulator providing Coalition Support for Virtual Power Players

This paper presents MASCEM - a multi-agent based electricity market simulator. MASCEM uses game theory, machine learning techniques, scenario analysis and optimization techniques to model market agents and to provide them with decision-support. This paper mainly focus on the MASCEM ability to provid...

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Bibliographic Details
Published in2009 15th International Conference on Intelligent System Applications to Power Systems pp. 1 - 6
Main Authors Oliveira, P., Pinto, T., Morais, H., Vale, Z.A., Praca, I.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2009
Subjects
Analytical models
Decision-making
Distributed control
Distributed Generation
Electricity Markets
Electricity supply industry
Energy management
Game theory
Intelligent Agents Coalitions
Load forecasting
Multiagent systems
Power generation
Predictive models
Production
Virtual Power Players
Virtual PowerProducers
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Summary:This paper presents MASCEM - a multi-agent based electricity market simulator. MASCEM uses game theory, machine learning techniques, scenario analysis and optimization 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 players (VPP). VPPs are represented as a coalition of agents, with specific characteristics and goals. The paper details some of the most important aspects considered in VPP formation and in the aggregation of new producers and includes a case study based on real data.
ISBN:9781424450978
1424450977
DOI:10.1109/ISAP.2009.5352933