Application of Particle Swarm Optimization for an Optimal Maintenance Strategy in Transmission Systems

被引：0
|
作者：
Heo, Jae-Haeng [1 ]
Park, Geun-Pyo [1 ]
Yoon, Yong Tae [1 ]
Park, Jong Keun [1 ]
Lee, Sang-Seung [2 ]
机构：
[1] Seoul Natl Univ, Sch Elect Eng, 301 Dong, Seoul 151742, South Korea
[2] Seoul Natl Univ, Korea Elect Engn & Sci Res Inst, Seoul 151742, South Korea
来源：
2011 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING | 2011年
关键词：
Particle Swarm Optimization; Equipment state model; modified Markov chain;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
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.
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页数：7
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