NDLI: Collecting and categorizing information related to electric power distribution interruption events: data consistency and categorization for benchmarking surveys

Content Provider	IEEE Xplore Digital Library
Author	Werner, V.G. Hall, D.F. Robinson, R.L. Warren, C.A.
Copyright Year	1986
Abstract	Reliability of electric power systems remains an important societal issue. While transmission disturbances draw national attention and scrutiny, service interruptions at the distribution level are the primary concern of the end-use customer and their regulatory and governmental representatives. Much effort has been expended in developing methods to uniformly and consistently quantify the reliability of distribution service based on electric system performance. However, the results of a nationwide survey of recorded information used for calculating distribution reliability indices performed in 1998 by the Working Group on System Design indicate that significant inconsistencies exist in the data, categorization of that data, and in the collection processes used within the industry. This paper is one in a series of papers that discuss the collection and categorization of information related to electric power distribution interruption events and will be used in the development of industry guidelines. This paper presents a minimal set of data and a consistent categorization structure that when used in combination with IEEE Std. 1366 will promote consistency in how the industry collects data for the purpose of benchmarking distribution system performance.
Sponsorship	IEEE Power Engineering Society
Starting Page	480
Ending Page	483
Page Count	4
File Size	81955
File Format	PDF
ISSN	08858977
Volume Number	21
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Power system reliability System performance Guidelines Power system management Sampling methods Substations Customer service Lightning sampling methods Power distribution reliability reliability management
Content Type	Text
Resource Type	Article
Subject	Energy Engineering and Power Technology Electrical and Electronic Engineering

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Analytical and Monte Carlo approaches to evaluate probability distributions of interruption duration

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