A multi-agent approach for planning activities in decentralized electricity markets
E. Gnansounou, S. Pierre, A. Quintero, J. Dong and A. Lahlou (2007) Knowledge-Based Systems, Volume 20, Issue 4, Pages 406-418
Despite the rigour and ability of game theory to cope with oligopolistic electric markets, it fails to model many existing behaviours in the real-world circumstances. The traditional models such as statistical extrapolation or econometrics are not capable to anticipate the changes in the pattern of the market prices due to the future structural changes. Furthermore, in such free and open markets, there is a more intense need for each participant to benefit from a certain level of autonomy, while keeping some capabilities to interact, communicate, collaborate and negotiate with other participants in an efficient way. As a result, there is a need for a novel framework of modelling that could include game theoretical assumptions as well as other more complex assumptions. Agent technologies in general and agent-based simulation in particular offer this possibility. This paper proposes, in a decision-making perspective, a new multi-agent architecture specifically designed to support planning activities in decentralized electricity markets, with a certain level of flexibility. In this model, synthetic agents are created allowing flexible representations of the multi-functional market players and possible mergers and coalitions in the electricity market.
Application of multi-agent modelling approach to sustainable planning of urban energy infrastructures
Security of Electricity supply in a liberalized environment: an agent based approach with application to the case of Switzerland
Gnansounou, E. ; Lahlou, A. Paper presented at IAEE International Conference, Potsdam, Germany, June 2006.
Modelling prices on electricity spot markets using a multi-agent simulation
Gnansounou, E. ; Dong, J. Paper presented at World Energy System Conference, University of Oradea, Romania, May 17-19, 2004.
Market Oriented Planning of Power Generation Expansion using Agent-based Model
Gnansounou, E.; Dong, J. ; Pierre, S. ; Quintero, A. Paper presented at IEEE PES, New York, October 10-13, 2004.