A Reliability-Centered Approach to an Optimal Maintenance Strategy in Transmission Systems Using a Genetic Algorithm

  • Heo, Jae-Haeng; 
  • Kim, Mun-Kyeom; 
  • Park, Geun-Pyo; 
  • Yoon, Yong Tae; 
  • Park, Jong Keun; 
  • 외 2명
Citations

WEB OF SCIENCE

69
Citations

SCOPUS

96

초록

Electric power transmission utilities try to maximize profit by reducing electricity supply costs and operation costs while maintaining their reliability. Developing maintenance strategies is one of the effective ways to achieve these profitable goals. The reliability-centered maintenance approach is a key method in providing optimal maintenance strategies. It considers the tradeoffs between the upfront maintenance costs and the potential costs of reliability losses. Since a transmission system is a group of different kinds of equipment and the reliability of the electric facilities varies with time, an equipment state model using a modified semi-Markov chain is proposed. In addition, a genetic algorithm is used to find the optimal maintenance strategies from a large class of possible maintenance scenarios. These optimal maintenance strategies have been tested on an IEEE 9-bus system and an IEEE 118-bus system; the results show that the proposed method minimizes the total expected costs.

키워드

Equipment state model; genetic algorithm (GA); modified semi-Markov chain; reliability-centered maintenance (RCM); GENERATION
제목
A Reliability-Centered Approach to an Optimal Maintenance Strategy in Transmission Systems Using a Genetic Algorithm
저자
Heo, Jae-Haeng; Kim, Mun-Kyeom; Park, Geun-Pyo; Yoon, Yong Tae; Park, Jong Keun; Lee, Sang-Seung; Kim, Dong-Hyeon
DOI
10.1109/TPWRD.2011.2162752
발행일
2011-10
유형
Article
저널명
IEEE Transactions on Power Delivery
권
26
호
4
페이지
2171 ~ 2179