Performance based unit loading optimization using particle swarm optimization approach

Authors:
Lily D. Li;Jiping Zhou;Yinghuo Yu
Affiliations:
School of Information Technology, Central Queensland University, Rockhampton, QLD, Austraila;Stanwell Power Station, Rockhampton, QLD, Australia;School of Electrical and Computer Engineering, RMIT University, Melbourne, VIC, Australia
Venue:
CIMMACS'06 Proceedings of the 5th WSEAS International Conference on Computational Intelligence, Man-Machine Systems and Cybernetics
Year:
2006

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Abstract

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.