Author(s): Oliveira, Pedro ; Pinto, Tiago ; Morais, H. ; Vale, Zita ; Praça, Isabel
Date: 2009
Persistent ID: http://hdl.handle.net/10400.22/1463
Origin: Repositório Científico do Instituto Politécnico do Porto
Subject(s): Decision-making; Distributed generation; Electricity markets; Intelligent agents coalitions; Virtual power producers; Virtual power players
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.
