Optimal dispatch of spinning reserve in a competitive electricity market using genetic algorithm

Zhao Xu, Z. Y. Dong, K. P. Wong

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

13 Citations (Scopus)

Abstract

Ancillary service plays a key role in maintaining operation security of the power system in a competitive electricity market. The spinning reserve is one of the most important ancillary services that should be provided effectively. This paper presents the design of an integrated market for energy 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 cost of service while maintaining system security. Genetic algorithms (GA) are used for finding the global optimal solutions for this dispatch problem. Case studies and corresponding analyses have been carried out to demonstrate and discuss the efficiency and usefulness of the proposed method.
Original languageEnglish
Title of host publication2003 Congress on Evolutionary Computation, CEC 2003 - Proceedings
PublisherIEEE Computer Society
Pages587-592
Number of pages6
DOIs
Publication statusPublished - 1 Jan 2003
Event2003 Congress on Evolutionary Computation, CEC 2003 - Canberra, ACT, Australia
Duration: 8 Dec 200312 Dec 2003

Conference

Conference2003 Congress on Evolutionary Computation, CEC 2003
Country/TerritoryAustralia
CityCanberra, ACT
Period8/12/0312/12/03

ASJC Scopus subject areas

  • Computational Mathematics

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