IEEE Power & Energy Society General Meeting - IEEE PES GM 2008, Pittsburgh (Estados Unidos de América). 20-24 julio 2008
Resumen:
In this paper, a model of the Colombian electricity market is implemented using the Agent-based Computational Economics (ACE) methodology. The paper propose a methodology to model the offer price behavior of generation companies upon the actual colombian market structure and the effects in market prices and agents’ profits. This model is based on a learning algorithm that uses some soft computing techniques to face the discovery of a complex function among offer prices, power system variables and profits. In addition, this methodology allows the agents to improve their offer strategies by maximizing their own profits. Finally, the paper presents some results obtained from the model about the behavior of spot prices and agents profits.
Palabras clave: Agent-based Computational Economics, Genetic Algorithms, Artificial Neural Networks, Electricity Market.
DOI: 
https://doi.org/10.1109/PES.2008.4596279
Publicado en IEEE PES GM 2008, pp: 1-7, ISBN: 978-1-4244-1905-0
Fecha de publicación: 2008-08-12.
Cita:
A.R. Delgadillo, L. Gallego, O. Duarte, D. Jiménez, M. Camargo, Agent Learning Methodology for Generators in an Electricity Market, IEEE Power & Energy Society General Meeting - IEEE PES GM 2008, Pittsburgh (Estados Unidos de América). 20-24 julio 2008. En: IEEE PES GM 2008: Conference proceedings, ISBN: 978-1-4244-1905-0
