Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/60607
Title: Genetic algorithm-based spinning reserve dispatching in a competitive electricity market
Authors: Xu, Z
Dong, ZY
Wong, KP
Issue Date: 2004
Publisher: Taylor & Francis
Source: International journal of systems science, 2004, v. 35, no. 13-14, p. 847-853 How to cite?
Journal: International journal of systems science 
Abstract: Power systems rely greatly on ancillary services in maintaining operation security. As one of the most important ancillary services, spinning reserve must be provided effectively in the deregulated market environment. This paper focuses on the design of an integrated market for both electricity and spinning reserve service with particular emphasis on coordinated dispatch of bulk power and spinning reserve services. A new market dispatching mechanism has been developed to minimize the ISO's total payment while ensuring system security. Genetic algorithms are used in the finding of the global optimal solutions for this dispatching problem. Case studies and corresponding analyses have been carried out to demonstrate and discuss the efficiency and usefulness of the proposed market.
URI: http://hdl.handle.net/10397/60607
ISSN: 0020-7721
DOI: 10.1080/00207720412331303688
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