Virtual power producers market strategies


Autoria(s): Morais, H.; Cardoso, Marilio; Khodr, H. M.; Praça, Isabel; Vale, Zita
Data(s)

03/05/2013

03/05/2013

2008

12/04/2013

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

http://hdl.handle.net/10400.22/1513

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