DocumentCode :
3103505
Title :
The catastrophic day identification problem in distribution reliability, and the robust estimation approach
Author :
Christie, Richard D.
Author_Institution :
Electr. Eng. Dept., Univ. of Washington, Seattle, WA, USA
fYear :
2012
fDate :
7-10 May 2012
Firstpage :
1
Lastpage :
4
Abstract :
The Major Event Day identification process used in distribution reliability calculation described in IEEE Standard P1366 is based on computing a threshold from five years of data. Massive, infrequent reliability events, such as a one in one hundred year ice storm, dubbed Catastrophic Days, can skew the threshold computation and thus affect the identification of Major Event Days and the calculation of normal reliability levels until the Catastrophic Day rolls out of the five year window. The Catastrophic Day Task Force of the Distribution Reliability Working Group has explored methods to identify Catastrophic Days and exclude them from the Major Event Day computations. One such method, Robust Estimation, is described in this work. While theoretically valid, Robust Estimation has not worked well in practice.
Keywords :
IEEE standards; estimation theory; log normal distribution; power distribution reliability; IEEE P1366 standard; catastrophic day identification problem; catastrophic day task force; distribution reliability; distribution reliability calculation; distribution reliability working group; dubbed catastrophic days; log-normal distribution; major event day identification process; robust estimation approach; Estimation; IEEE standards; Power system reliability; Probability distribution; Robustness; Power distribution; log-normal distribution; reliability; robust estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Transmission and Distribution Conference and Exposition (T&D), 2012 IEEE PES
Conference_Location :
Orlando, FL
ISSN :
2160-8555
Print_ISBN :
978-1-4673-1934-8
Electronic_ISBN :
2160-8555
Type :
conf
DOI :
10.1109/TDC.2012.6281533
Filename :
6281533
Link To Document :
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