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

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

doi:10.1109/CEC.2003.1299629

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

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

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-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 language	English
Title of host publication	2003 Congress on Evolutionary Computation, CEC 2003 - Proceedings
Publisher	IEEE Computer Society
Pages	587-592
Number of pages	6
DOIs	https://doi.org/10.1109/CEC.2003.1299629
Publication status	Published - 1 Jan 2003
Event	2003 Congress on Evolutionary Computation, CEC 2003 - Canberra, ACT, Australia Duration: 8 Dec 2003 → 12 Dec 2003

Conference

Conference	2003 Congress on Evolutionary Computation, CEC 2003
Country/Territory	Australia
City	Canberra, ACT
Period	8/12/03 → 12/12/03

ASJC Scopus subject areas

Computational Mathematics

More information

10.1109/CEC.2003.1299629

Cite this

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Xu, Z, Dong, ZY & Wong, KP 2003, Optimal dispatch of spinning reserve in a competitive electricity market using genetic algorithm. in 2003 Congress on Evolutionary Computation, CEC 2003 - Proceedings., 1299629, IEEE Computer Society, pp. 587-592, 2003 Congress on Evolutionary Computation, CEC 2003, Canberra, ACT, Australia, 8/12/03. https://doi.org/10.1109/CEC.2003.1299629

Optimal dispatch of spinning reserve in a competitive electricity market using genetic algorithm. / Xu, Zhao; Dong, Z. Y.; Wong, K. P.
2003 Congress on Evolutionary Computation, CEC 2003 - Proceedings. IEEE Computer Society, 2003. p. 587-592 1299629.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AB - 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.

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

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