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

Author

Oliveira, Pedro ; Pinto, Tiago ; Morais, Hugo ; Vale, Zita A. ; Praça, Isabel

Author_Institution

GECAD Knowledge Eng. & Decision-Support Res. Center, Electr. Eng. Inst. of Porto Polytech. Inst. of Porto, Porto, Portugal

fYear

2009

fDate

8-12 Nov. 2009

Firstpage

1

Lastpage

6

Abstract

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.

Keywords

decision support systems; game theory; learning (artificial intelligence); multi-agent systems; optimisation; power markets; MASCEM; coalition support; decision support; game theory; machine learning; multi-agent based electricity market simulator; optimization techniques; scenario analysis; virtual power players; Analytical models; Distributed control; Electricity supply industry; Energy management; Game theory; Load forecasting; Multiagent systems; Power generation; Predictive models; Production; Decision-making; Distributed Generation; Electricity Markets; Intelligent Agents Coalitions; Virtual Power Players; Virtual PowerProducers;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent System Applications to Power Systems, 2009. ISAP '09. 15th International Conference on

Conference_Location

Curitiba

Print_ISBN

978-1-4244-5097-8

Type

conf

DOI

10.1109/ISAP.2009.5352933

Filename

5352933