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Application of Particle Swarm Optimization Algorithm to Electric Power Line Overhaul Plan
Author(s) -
Jia Liu,
Yang Li,
Liqun Gao
Publication year - 2008
Publication title -
computer and information science
Language(s) - English
Resource type - Journals
eISSN - 1913-8997
pISSN - 1913-8989
DOI - 10.5539/cis.v1n2p52
Subject(s) - particle swarm optimization , computer science , line (geometry) , electric power , multi swarm optimization , power (physics) , mathematical optimization , plan (archaeology) , algorithm , electric power system , swarm behaviour , metaheuristic , artificial intelligence , mathematics , physics , geometry , archaeology , quantum mechanics , history

Electric power line overhaul plan is an important issue on power system and engineering practice. As particle swarm optimization is to be a new intelligent algorithm. It is gradually applied into power system these years. This paper provides a relative mathematical model to solve the problems in power line overhaul. Particle swarm optimization algorithm has advantages of less parameters setting and highly optimizing speed. Take these advantages; we make an optimal order of electric power line overhaul. It is proved that the application of particle swarm optimization algorithm to electric power line overhaul plan is feasible.

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