NDLI: Power generation loading optimization using a multi-objective constraint-handling method via PSO algorithm

Content Provider	IEEE Xplore Digital Library
Author	Li, L.D. Xiaodong Li Xinghuo Yu
Copyright Year	2008
Description	Author affiliation: Sch. of Comput. Sci., Central Queensland Univ., Rockhampton, QLD (Li, L.D.)
Abstract	Power generation loading optimization problem will be of practical importance in the coming carbon constrained power industry. A major objective for the coal-fired power generation loading optimization is to minimize fuel consumption to achieve output demand and to maintain $NO_{x}$ emissions within the environmental license limit. This paper presents a multi-objective constraint-handling method incorporating the particle swarm optimization (PSO) algorithm for the power generation loading optimization application. The proposed approach adopts the concept of Pareto dominance from multi-objective optimization, and uses several selection rules to determine particlespsila behaviors to guide the search direction. The simulation results of the power generation loading optimization based on a coal-fired power plant demonstrates the capability, effectiveness and efficiency of using a multi-objective constraint-handling method with PSO algorithm in solving significant industrial problems.
Starting Page	1632
Ending Page	1637
File Size	348976
Page Count	6
File Format	PDF
ISBN	9781424421701
ISSN	19354576
DOI	10.1109/INDIN.2008.4618365
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-07-13
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Content Type	Text
Resource Type	Article

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