Title :
Application of particle swarm optimization for an optimal maintenance strategy in transmission systems
Author :
Heo, Jae-Haeng ; Park, Geun-Pyo ; Yoon, Yong Tae ; Park, Jong Keun ; Lee, Sang-Seung
Author_Institution :
Sch. of Electr. Eng, Seoul Nat. Univ., Seoul, South Korea
Abstract :
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.
Keywords :
Markov processes; maintenance engineering; particle swarm optimisation; power transmission; IEEE 9-bus systems; PSO technique; generation cost; maintenance cost; maintenance scheduling; modified Markov chain; optimal maintenance strategy; overhead line; particle swarm optimization; transmission systems; underground cable; Aging; Cable insulation; Insulators; Maintenance engineering; Markov processes; Power cables; Reliability; Equipment state model; Particle Swarm Optimization; modified Markov chain;
Conference_Titel :
Power and Energy Society General Meeting, 2011 IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4577-1000-1
Electronic_ISBN :
1944-9925
DOI :
10.1109/PES.2011.6039477
