Virtual power producers market strategies

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 provid...

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Bibliographic Details
Main Author: Morais, H. (author)
Other Authors: Cardoso, Marilio (author), Khodr, H. M. (author), Praça, Isabel (author), Vale, Zita (author)
Format: conferenceObject
Language:eng
Published: 2013
Subjects:
Distributed generation
Electricity markets
Intelligent agents coalitions
Virtual power producers
Online Access:http://hdl.handle.net/10400.22/1513
Country:Portugal
Oai:oai:recipp.ipp.pt:10400.22/1513
Description
Summary: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.

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