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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Russell, B.D. Benner, C.L. Cheney, R.M. Wallis, C.F. Anthony, T.L. Muston, W.E. |
| Copyright Year | 2009 |
| Description | Author affiliation: Alabama Power Company, 600 North 18th St, Birmingham, AL 35203 USA (Cheney, R.M.; Wallis, C.F.) || Texas A&M University, Department of Electrical and Computer Engineering, 3128 TAMUS, College Station, TX 77843-3128 USA (Russell, B.D.; Benner, C.L.) || Oncor Electric Delivery, 1601 Bryan Street, Dallas, TX 75201-3411 USA (Anthony, T.L.; Muston, W.E.) |
| Abstract | Feeder reliability has been receiving increased attention. Substantial industry efforts have defined standardized indices for quantifying reliability. Utility commissions and municipalities are requiring utilities to use these indices to identify and make improvements to poorly performing feeders. Reliability indices generally equate to the number and length of outages, and to the number of customers affected. While some outages are unavoidable, others are the result of incipient failures or apparatus malfunction. This paper illustrates how reliability can be improved through real-time situational awareness of faults and events. Emphasis is given to providing actionable information with little or no human intervention. The paper describes how Texas A&M's Distribution Fault Anticipation (DFA) project documented naturally occurring faults and outages on 60 feeders, and examines how those events could be avoided with intelligent monitoring. Reliability improvements are projected through condition-based maintenance and quick response to outages using previously unavailable information on faults and events. |
| Starting Page | 1 |
| Ending Page | 8 |
| File Size | 2435482 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424442416 |
| ISSN | 19449925 |
| DOI | 10.1109/PES.2009.5275415 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-07-26 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Circuit faults Doped fiber amplifiers Condition monitoring Power system reliability Maintenance Samarium Humans Power system faults Accidents Protection apparatus failure power system reliability power system faults incipient faults condition-based maintenance |
| Content Type | Text |
| Resource Type | Article |
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