DocumentCode
1422873
Title
Assessing the reliability of distribution systems
Author
Brown, Richard E. ; Hanson, Andrew P. ; Willis, H. Lee ; Luedtke, Frank A. ; Born, Michael F.
Author_Institution
ABB, Raleigh, NC, USA
Volume
14
Issue
1
fYear
2001
fDate
1/1/2001 12:00:00 AM
Firstpage
44
Lastpage
49
Abstract
Since a typical distribution system accounts for 40% of the cost to deliver power and 80% of customer reliability problems, distribution system design and operation is critical for financial success and customer satisfaction. To address this situation, Commonwealth Edison is integrating reliability assessment techniques into distribution planning and engineering. Just as equipment loading and voltage regulation are treated with analytical rigor with power flow models, interruptions and outages can be treated with analytical rigor with reliability models. This is made possible through the use of predictive reliability assessment tools that are able to predict customer reliability characteristics based on system topology and component reliability data. Reliability software predicts expected interruption frequencies and duration in a manner analogous to current and voltage evaluations in traditional power flow models. This article describes the distribution system´s reliability assessment model jointly developed by Commonwealth Edison and ABB. This effort modeled, calibrated, and assessed the reliability of more than 3300 feeders. After completing the model, an intelligent system was used to automatically identify potential reliability problems and recommend reliability improvement projects based on expected benefits and costs
Keywords
power distribution planning; power distribution reliability; power system analysis computing; Commonwealth Edison; component reliability data; customer reliability characteristics; customer reliability problems; customer satisfaction; distribution engineering; distribution planning; distribution system design; distribution systems reliability assessment; expected interruption duration; expected interruption frequencies; financial success; intelligent system; potential reliability problems identification; power flow models; predictive reliability assessment tools; system topology; Costs; Customer satisfaction; Load flow; Load flow analysis; Power engineering and energy; Power system modeling; Power system planning; Power system reliability; Reliability engineering; Voltage control;
fLanguage
English
Journal_Title
Computer Applications in Power, IEEE
Publisher
ieee
ISSN
0895-0156
Type
jour
DOI
10.1109/67.893355
Filename
893355
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