Please use this identifier to cite or link to this item:
Title: Coordination of bidding strategies in energy and spinning reserve markets for competitive suppliers using a genetic algorithm
Authors: Wen, F
David, AK
Keywords: Electricity supply industry
Genetic algorithms
Power system economics
Stochastic processes
Issue Date: 2000
Publisher: IEEE
Source: IEEE Power Engineering Society Summer Meeting, 2000, July 2000, Seattle, WA, v. 4, p. 2174-2179 How to cite?
Abstract: The problem of building optimally coordinated bidding strategies for competitive suppliers in energy and spinning reserve markets is addressed. It is assumed that each supplier bids a linear energy supply function and a linear spinning reserve supply function into the energy and spinning reserve markets, respectively, and the two markets are dispatched separately to minimize customer payments. Each supplier chooses the coefficients in the linear energy and spinning reserve supply functions to maximize total benefits, subject to expectations about how rival suppliers will bid. A stochastic optimization model is first developed to describe this problem and a genetic algorithm based method is then presented to solve it. A numerical example is utilized to illustrate the essential features of the method
ISBN: 0-7803-6420-1
DOI: 10.1109/PESS.2000.866983
Appears in Collections:Conference Paper

View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

Last Week
Last month
Citations as of Dec 17, 2018

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.