NDLI: Application of Enhanced Integer Coded Particle Swarm Optimization for Distribution System Feeder Reconfiguration

Content Provider	IEEE Xplore Digital Library
Author	Wu-Chang Wu Men-Shen Tsai
Copyright Year	1969
Abstract	This paper proposes an effective approach based on the particle swarm optimization with integer coded to determine the switch operation schemes for feeder reconfiguration. The proposed approach, enhanced integer coded particle swarm optimization (EICPSO), is able to improve the search efficiency for feeder reconfiguration problems by considering the historical local optimal solutions when generating new particles. The local optimal solutions found during the evolution process are used when new particle are generated. Three different distribution systems are used in this paper to verify and validate the effectiveness of the proposed method. Simulation results show that the proposed method can find the solutions for feeder reconfiguration problems faster than other approaches such as discrete particle swarm optimization, modified binary particle swarm optimization, and genetic algorithm.
Sponsorship	IEEE Power Engineering Society
Starting Page	1591
Ending Page	1599
Page Count	9
File Size	572598
File Format	PDF
ISSN	08858950
Volume Number	26
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Particle swarm optimization Genetic algorithms Optimization Search problems power distribution planning Intelligent systems particle swarm optimization power distribution
Content Type	Text
Resource Type	Article
Subject	Energy Engineering and Power Technology Electrical and Electronic Engineering

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