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Advisor(s)
Abstract(s)
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.
Description
Keywords
Decision-making Distributed generation Electricity markets Intelligent agents coalitions Virtual power producers Virtual power players
Citation
Publisher
IEEE