Supply Estimation Using Coevolutionary Genetic Algorithms in the Spanish Electrical Market

Authors:
Enrique A. De La Cal Marín;Luciano Sánchez Ramos
Affiliations:
Computer Science Department, University of Oviedo, Asturias, Spain;Computer Science Department, University of Oviedo, Asturias, Spain
Venue:
Applied Intelligence
Year:
2004

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Abstract

The price of electrical energy in Spain has not been regulated by the government since 1998, but determined by the supply from the generators in a competitive market, the so-called “electrical pool”. A genetic method for analyzing data from this new market is presented in this paper. The eventual objective is to determine the individual supply curves of the competitive agents. Adopting the point of view of the game theory, different genetic algorithm configurations using coevolutionary and non-coevolutionary strategies combined with scalar and multi-objective fitness are compared. The results obtained are the first step toward solving the induction of the optimal individual strategies into the Spanish electrical market from data in terms of perfect oligopolistic behavior.