Ieee std 1366-2012 (Revision of ieee std 1366-2003) ieee guide for Electric Power Distribution Reliability Indices


Figure B.5—Probability of exactly f new MEDs in the next year of data


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Figure B.5—Probability of exactly f new MEDs in the next year of data 
using M years of historical data
The consensus of the Design Working Group members was that five years was the appropriate amount of 
data to collect. The group felt that the distribution system would change enough to invalidate any extra 
accuracy from more than five years of data. 
Authorized licensed use limited to: North China Electric Power University. Downloaded on February 16,2022 at 10:52:41 UTC from IEEE Xplore. Restrictions apply. 


IEEE Std 1366-2012 
IEEE Guide for Electric Power Distribution Reliability Indices 
Copyright © 2012 IEEE. All rights reserved. 
31
Annex C
 
(informative) 
Internal data subset 
C.1 Calculation of reliability indices for subsets of data for internal company use 
 
Reliability performance can be assessed for different purposes. It may be advantageous to calculate 
reliability indices without planned interruptions in order to review performance during unplanned events. In 
another case, it may be advantageous to review only sustained interruptions. Assessment of performance 
trends and goal setting should be based on normal event days (neglecting the impact of MEDs). Utilities 
and regulators determine the most appropriate data to use for reliability performance monitoring. When 
indices are calculated using partial data sets, the basis should be clearly defined for the users of the indices. 
At a minimum, reliability indices based on all collected data for a reporting period and analyzed as to 
normal versus MED classifications should be provided. Indices based on subsets of collected data may be 
provided as specific needs dictate. 
Authorized licensed use limited to: North China Electric Power University. Downloaded on February 16,2022 at 10:52:41 UTC from IEEE Xplore. Restrictions apply. 


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