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Constrainted power plants unit loading optimization using particle swarm optimization algorithm

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journal contribution
posted on 06.12.2017, 00:00 by J Zhou, Xinghuo YuXinghuo Yu, Dujuan LiDujuan Li
Power plants unit loading optimization problem is of practical importance in the power industry. It generally involves minimizing the total operating cost subject to satisfy a series of constraints. Minimizing fuel consumption while achieve output demand and maintain emissions within the environmental license limits is a major objective for the loading optimization. This paper presents a Particle Swarm Optimization (PSO) based approach for economically dispatching generation load among different generators based on the units’ performance. Constraints have been handled by a proposed modified PSO algorithm which adopting preserving feasibility and repairing infeasibility strategies. A simulation of an Australia power plant implementing the modified algorithm is reported. 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

Volume

4

Issue

2

Start Page

296

End Page

302

Number of Pages

7

ISSN

1790-0832

Location

Athens, Greece

Publisher

WSEAS

Language

en-aus

Peer Reviewed

Yes

Open Access

No

External Author Affiliations

Faculty of Business and Informatics; RMIT University; Stanwell Power Station;

Era Eligible

Yes

Journal

WSEAS transactions on information science and applications.