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Performance based unit loading optimization using particle swarm optimization approach

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conference contribution
posted on 06.12.2017, 00:00 by Dujuan LiDujuan Li, J Zhou, Xinghuo YuXinghuo Yu
This paper presents a Particle Swarm Optimization (PSO) based approach for economically dispatching generation load among different generators based on the unit performance. A modified PSO algorithm with preserving feasibility and repairing infeasibility strategies is adopted for handling constraints. A four-unit loading optimization for an Australian power plant is successfully implemented by using the modified PSO algorithm. The result reveals the capability, effectiveness and efficiency of using evolutionary algorithms such as PSO in solving significant industrial problems in the power industry.

Funding

Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)

History

Start Page

351

End Page

356

Number of Pages

6

Start Date

01/01/2006

eISSN

1790-5095

ISSN

1790-5095

ISBN-10

9608457564

Location

Venice, Italy

Publisher

World Scientific and Engineering Academy Society (WSEAS)

Place of Publication

Wisconsin, USA

Peer Reviewed

Yes

Open Access

No

External Author Affiliations

Faculty of Business and Informatics; School of Electrical and Computer Engineering; Stanwell Power Station;

Era Eligible

Yes

Name of Conference

International Conference on Computational Intelligence, Man-machine Systems and Cybernetics