Title :
Agent learning methodology for generators in an electricity market
Author :
Delgadillo, Andres ; Gallego, Luis ; Duarte, Oscar ; Jimenez, Diana ; Camargo, Martha
Author_Institution :
Res. group PAAS-UN Colombia, Nat. Univ. of Colombia, Bogota
Abstract :
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 agentspsila 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.
Keywords :
power engineering computing; power markets; power system economics; software agents; Colombian electricity market; agent learning methodology; agent-based computational economics methodology; generation companies price behavior; soft computing techniques; Artificial neural networks; Computer networks; Electricity supply industry; Environmental economics; Genetic algorithms; Power generation; Power generation economics; Power system economics; Power system modeling; Regulators; Agent-based Computational Economics; Artificial Neural Networks; Electricity Market; Genetic Algorithms;
Conference_Titel :
Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE
Conference_Location :
Pittsburgh, PA
Print_ISBN :
978-1-4244-1905-0
Electronic_ISBN :
1932-5517
DOI :
10.1109/PES.2008.4596279
