Application of particle swarm optimization for an optimal maintenance strategy in transmission systems

This paper presents the application of particle swarm optimization (PSO) technique to find the optimal maintenance strategy of transmission equipment with minimum total expected cost of generation cost, maintenance cost, repair cost and outage cost. Three types of transmission equipment, the overhea...

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Bibliographic Details
Main Authors: Jae-Haeng Heo, Geun-Pyo Park, Yong Tae Yoon, Jong Keun Park, Sang-Seung Lee
Format: Conference Proceeding
Language:English
Subjects:
Aging
Cable insulation
Equipment state model
Insulators
Maintenance engineering
Markov processes
modified Markov chain
Particle Swarm Optimization
Power cables
Reliability
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Summary:This paper presents the application of particle swarm optimization (PSO) technique to find the optimal maintenance strategy of transmission equipment with minimum total expected cost of generation cost, maintenance cost, repair cost and outage cost. Three types of transmission equipment, the overhead line, the underground cable and the insulator are considered. To consider aging, the equipment state model through modified Markov chain is proposed. Simulation is performed on IEEE 9-bus systems. The results obtained are quite encouraging and will be useful in maintenance scheduling.
ISSN:1932-5517
DOI:10.1109/PES.2011.6039477