DocumentCode :
797268
Title :
Statistical classification of major event days in distribution system reliability
Author :
Christie, Richard D.
Author_Institution :
Dept. of Electr. Eng., Univ. of Washington, Seattle, WA, USA
Volume :
18
Issue :
4
fYear :
2003
Firstpage :
1336
Lastpage :
1341
Abstract :
This paper proposes defining a major event day (MED) in distribution reliability in terms of average frequency of occurrence. This definition is easy to understand for nontechnical people like regulators, seems to be fair to apply to systems of any size, and can be translated into a reliability threshold that can be used to classify individual days. Two possible methods of applying the definition are discussed with an example using real utility data, a bootstrap method, and fitting a probability distribution. Practical issues such as the type of probability distribution to use, how to handle zero-outage days, and calculating normal annual reliability with MEDs removed are discussed and resolved.
Keywords :
power distribution reliability; probability; bootstrap method; distribution reliability; major event day; normal annual reliability; power distribution system reliability; probability distribution; statistics; utility data; Earthquakes; Frequency; Power system measurements; Power system reliability; Probability distribution; Regulators; Robustness; Statistical distributions; Storms; Stress;
fLanguage :
English
Journal_Title :
Power Delivery, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8977
Type :
jour
DOI :
10.1109/TPWRD.2003.810491
Filename :
1234689
Link To Document :
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