Day-ahead electricity market equilibrium computing using competitive coevolutionary algorithms
Joint Authors
Ladjici, Ahmad Amin
Boudour, Muhammad
Tigurecha, Ahmad
Source
Issue
Vol. 2009, Issue 1 (30 Nov. 2009), pp.67-72, 6 p.
Publisher
Publication Date
2009-11-30
Country of Publication
Algeria
No. of Pages
6
Main Subjects
Topics
Abstract EN
in this paper, a competitive coevolutionary approach based on the concept of Evolution stable strategies is used to analysis a day-ahead market.
The day-ahead market is considered as a mixed bilateral / pool market, where participants can sign for forward bilateral contracts several months in advance from its delivery, and have to take part to the spot market 24h prior of the delivery.
We consider market participants interaction as an evolutionary game played by bounded agents, adapting their strategies to maximize their profits in a competitive environment.
Under the effect of the competition, the coevolved agents are led toward an equilibrium point where each agent population is invaded by an Evolutionary stable Strategy.
American Psychological Association (APA)
Ladjici, Ahmad Amin& Boudour, Muhammad& Tigurecha, Ahmad. 2009. Day-ahead electricity market equilibrium computing using competitive coevolutionary algorithms. Journal of Electrical Systems،Vol. 2009, no. 1, pp.67-72.
https://search.emarefa.net/detail/BIM-291325
Modern Language Association (MLA)
Boudour, Muhammad…[et al.]. Day-ahead electricity market equilibrium computing using competitive coevolutionary algorithms. Journal of Electrical Systems No. 1 (Nov. 2009), pp.67-72.
https://search.emarefa.net/detail/BIM-291325
American Medical Association (AMA)
Ladjici, Ahmad Amin& Boudour, Muhammad& Tigurecha, Ahmad. Day-ahead electricity market equilibrium computing using competitive coevolutionary algorithms. Journal of Electrical Systems. 2009. Vol. 2009, no. 1, pp.67-72.
https://search.emarefa.net/detail/BIM-291325
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 72
Record ID
BIM-291325