Detalhes do Documento

A new approach for multi-agent coalition formation and management in the scope of electricity markets

Autor(es): Pinto, Tiago ; Morais, H. ; Oliveira, Pedro ; Vale, Zita ; Praça, Isabel ; Ramos, Carlos

Data: 2011

Identificador Persistente: http://hdl.handle.net/10400.22/1454

Origem: Repositório Científico do Instituto Politécnico do Porto

Assunto(s): Multi-agent systems; Virtual power producers; Distributed generation; Competitive electricity markets; Intelligent decision making; Agent negotiation strategies; Multi-agent systems; Multi-agent systems; Virtual power producers; Virtual power producers; Distributed generation; Distributed generation; Competitive electricity markets; Competitive electricity markets; Intelligent decision making; Intelligent decision making; Agent negotiation strategies; Agent negotiation strategies


Descrição

This paper presents a new methodology for the creation and management of coalitions in Electricity Markets. This approach is tested using the multi-agent market simulator MASCEM, taking advantage of its ability to provide the means to model and simulate VPP (Virtual Power Producers). VPPs are represented as coalitions of agents, with the capability of negotiating both in the market, and internally, with their members, in order to combine and manage their individual specific characteristics and goals, with the strategy and objectives of the VPP itself. The new features include the development of particular individual facilitators to manage the communications amongst the members of each coalition independently from the rest of the simulation, and also the mechanisms for the classification of the agents that are candidates to join the coalition. In addition, a global study on the results of the Iberian Electricity Market is performed, to compare and analyze different approaches for defining consistent and adequate strategies to integrate into the agents of MASCEM. This, combined with the application of learning and prediction techniques provide the agents with the ability to learn and adapt themselves, by adjusting their actions to the continued evolving states of the world they are playing in.

Tipo de Documento Artigo científico
Idioma Inglês
Contribuidor(es) REPOSITÓRIO P.PORTO
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