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

fYear

2008

fDate

20-24 July 2008

Firstpage

1

Lastpage

7

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE

Conference_Location

Pittsburgh, PA

ISSN

1932-5517

Print_ISBN

978-1-4244-1905-0

Electronic_ISBN

1932-5517

Type

conf

DOI

10.1109/PES.2008.4596279

Filename

4596279