By Topic

Reliability improvement of distribution feeders through real-time, intelligent monitoring

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

6 Author(s)
B. Don Russell ; Texas A&M University, Department of Electrical and Computer Engineering, 3128 TAMUS, College Station, TX 77843-3128 USA ; Carl L. Benner ; Robert M. Cheney ; Charles F. Wallis
more authors

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.

Published in:

2009 IEEE Power & Energy Society General Meeting

Date of Conference:

26-30 July 2009