Constrained power plants unit loading optimization algorithm

Li, L, Zhou, J, Yu, Y and Li, X 2007, 'Constrained power plants unit loading optimization algorithm', WSEAS Transactions on Information Science and Applications, vol. 4, no. 2, pp. 296-302.

Document type: Journal Article
Collection: Journal Articles

Attached Files
Name Description MIMEType Size
n2006006546.pdf Published Version application/pdf 1.74MB
Title Constrained power plants unit loading optimization algorithm
Author(s) Li, L
Zhou, J
Yu, Y
Li, X
Year 2007
Journal name WSEAS Transactions on Information Science and Applications
Volume number 4
Issue number 2
Start page 296
End page 302
Total pages 7
Publisher World Scientific and Engineering Academy and Society
Abstract 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.
Subject Analysis of Algorithms and Complexity
Neural, Evolutionary and Fuzzy Computation
Keyword(s) Evolutionary Computing
PSA algorithm
Loading dispatching
ISSN 1790-0832
Version Filter Type
Citation counts: Scopus Citation Count Cited 5 times in Scopus Article | Citations
Access Statistics: 149 Abstract Views, 54 File Downloads  -  Detailed Statistics
Created: Wed, 22 Dec 2010, 10:15:00 EST by Catalyst Administrator
© 2014 RMIT Research Repository • Powered by Fez SoftwareContact us