Title :
A Reliability-Centered Approach to an Optimal Maintenance Strategy in Transmission Systems Using a Genetic Algorithm
Author :
Heo, Jae-Haeng ; Kim, Mun-Kyeom ; Park, Geun-Pyo ; Yoon, Yong Tae ; Park, Jong Keun ; Lee, Sang-Seung ; Kim, Dong-Hyeon
Author_Institution :
Sch. of Electr. Eng., Seoul Nat. Univ., Seoul, South Korea
Abstract :
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.
Keywords :
Markov processes; genetic algorithms; maintenance engineering; power transmission economics; power transmission reliability; IEEE 118-bus system; IEEE 9-bus system; electric facilities; electricity supply costs; equipment state model; genetic algorithm; modified semiMarkov chain; operation costs; optimal maintenance strategy; reliability centered maintenance; transmission systems; Genetic algorithms; Maintenance engineering; Power system reliability; Real time systems; Reliability; Equipment state model; genetic algorithm (GA); modified semi-Markov chain; reliability-centered maintenance (RCM);
Journal_Title :
Power Delivery, IEEE Transactions on
DOI :
10.1109/TPWRD.2011.2162752