DocumentCode :
1151555
Title :
Time of outage restoration analysis in distribution systems
Author :
Chow, Mo-Yuen ; Taylor, Leroy S. ; Chow, MO-Suk
Author_Institution :
Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA
Volume :
11
Issue :
3
fYear :
1996
fDate :
7/1/1996 12:00:00 AM
Firstpage :
1652
Lastpage :
1658
Abstract :
This paper presents an approach that uses statistical techniques to analyze and interpret time of outage restoration (TOR) data in distribution systems with respect to several selected factors. The factors an classified into three main categories: (1) time; (2) consequence; and (3) environment. Each category is further broken down into groups and classes for more detailed analysis. Both statistical, quantitative results and field engineering insights are correlated and discussed. The approach taken in this paper can be easily modified for other utilities´ TOR analysis. These analyses can provide a better understanding as to how the restoration time is affected by different influential factors. The methodology and general discussion in the paper will be useful for future research and development of the TOR issues in distribution systems, such as model development for customer service improvement, distribution operations, and planning
Keywords :
distribution networks; electrical faults; power system restoration; statistical analysis; consequence; customer service improvement; distribution operations; distribution planning; distribution systems; environment; influential factors; model development; research and development; statistical techniques; time; time of outage restoration; Environmental economics; IEEE members; Power generation economics; Power system analysis computing; Power system economics; Power system modeling; Power system planning; Power system reliability; Power system restoration; Power system security;
fLanguage :
English
Journal_Title :
Power Delivery, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8977
Type :
jour
DOI :
10.1109/61.517530
Filename :
517530
Link To Document :
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