Virtual power producers market strategies
Data(s) |
03/05/2013
03/05/2013
2008
12/04/2013
|
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Resumo |
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. |
Identificador |
DOI 10.1109/EEM.2008.4579099 978-1-4244-1743-8 |
Idioma(s) |
eng |
Publicador |
IEEE |
Relação |
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4579099 |
Direitos |
closedAccess |
Palavras-Chave | #Distributed generation #Electricity markets #Intelligent agents coalitions #Virtual power producers |
Tipo |
conferenceObject |