DocumentCode :
1250080
Title :
Predictive analysis ranks reliability improvements
Author :
McCarthy, Christopher A. ; Liu, Haijun
Author_Institution :
Cooper Power Syst., Franksville, WI, USA
Volume :
12
Issue :
4
fYear :
1999
fDate :
10/1/1999 12:00:00 AM
Firstpage :
35
Lastpage :
40
Abstract :
The main objective of predictive reliability analysis is to quantify, predict and compare reliability indexes for various reliability improvement initiatives. This information helps engineers and managers at electric utility organizations decide how to spend reliability improvement dollars by identifying the most effective actions for improving reliability of distribution feeders. There are many types of system design and maintenance tasks that fall under the reliability improvement umbrella. The type of distribution reliability improvement software discussed here focuses on improvement initiatives that are both practical and economical to implement. Results can be implemented without altering the fundamental system design or philosophies currently in place. In other words, these are not radical departures from the current mode of business, but rather a fine-tuning of systems already in place to achieve a higher level of reliability
Keywords :
electricity supply industry; power distribution reliability; power system analysis computing; computer simulation; distribution feeders; distribution networks; electric utility organizations; predictive reliability analysis; reliability improvement initiatives; reliability indexes; software; Circuit faults; Economic forecasting; Engineering management; Frequency; Maintenance; Power industry; Protection; Reliability engineering; Switches; System analysis and design;
fLanguage :
English
Journal_Title :
Computer Applications in Power, IEEE
Publisher :
ieee
ISSN :
0895-0156
Type :
jour
DOI :
10.1109/67.795136
Filename :
795136
Link To Document :
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