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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yang, F. Kwan, C.M. Chang, C.S. |
| Copyright Year | 1969 |
| Abstract | Reducing overall substation cost and improving reliability are the two prime but often conflicting objectives of electric power distribution. Proper scheduling of substation preventive maintenance provides an effective means to tradeoff between these two objectives. Decision-varying Markov models relating the deterioration process with maintenance operations is proposed to predict the availability of individual component. Minimum cut-sets method is employed to identify the critical components and evaluate the overall reliability of substation. A multiobjective evolutionary algorithm is proposed to optimize the two objectives to provide Pareto-fronts or tradeoff curves for a holistic view of the conflicting relationships between them. Through simulations, abilities of our proposed algorithm are demonstrated for robust search towards optimal solutions for large-size distribution. |
| Sponsorship | IEEE Power Engineering Society |
| Starting Page | 1328 |
| Ending Page | 1335 |
| Page Count | 8 |
| File Size | 1207753 |
| File Format | |
| ISSN | 08858950 |
| Volume Number | 23 |
| Issue Number | 3 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-08-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Substations Preventive maintenance Evolutionary computation Cost function Inspection Stochastic processes Frequency Reliability Optimization methods Job shop scheduling substation maintenance Decision-varying Markov model minimum cut sets multiobjective evolutionary algorithm pareto front |
| Content Type | Text |
| Resource Type | Article |
| Subject | Energy Engineering and Power Technology Electrical and Electronic Engineering |
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