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

fYear

2011

Firstpage

1

Lastpage

7

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Power and Energy Society General Meeting, 2011 IEEE

Conference_Location

San Diego, CA

ISSN

1944-9925

Print_ISBN

978-1-4577-1000-1

Electronic_ISBN

1944-9925

Type

conf

DOI

10.1109/PES.2011.6039477

Filename

6039477