DocumentCode
1316299
Title
Delivery point reliability measurement
Author
Chowdhury, Ali A. ; Koval, Don O.
Author_Institution
Transmission Planning, Alberta Power Ltd., Edmonton, Alta., Canada
Volume
32
Issue
6
fYear
1996
Firstpage
1440
Lastpage
1448
Abstract
Reliability is one of the most important criteria which must be taken into consideration during the planning, designing and operating phases of any industrial, commercial or utility power system. Two distinct reliability assessment methodologies are frequently used to evaluate the reliability performance of power systems: 1) historical reliability assessment, i.e. the collection and analysis of system outage data; and 2) predictive reliability assessment, i.e., combining historical outage data and theoretical models to estimate the performance of various power system operating configurations. This paper focuses on the historical assessment of the sustained frequency and duration of single-circuit and multi-circuit delivery point interruptions. Delivery point reliability levels have a significant impact on the design of industrial and commercial power systems (e.g., IEEE Gold Book-IEEE Standard 493). Bulk electricity system average reliability performance indices are defined and statistics based on delivery point sustained interruption data for a five year period from 1988 to 1992 are presented and discussed in detail in this paper
Keywords
electrical faults; industrial power systems; power system reliability; power system transients; average reliability performance indices; commercial power systems; delivery point reliability measurement; historical reliability assessment; multi-circuit delivery point interruptions; operating configurations; outage data; reliability assessment methodologies; single-circuit delivery point interruptions; Estimation theory; Industrial power systems; Performance analysis; Power system analysis computing; Power system measurements; Power system modeling; Power system planning; Power system reliability; Predictive models; Reliability theory;
fLanguage
English
Journal_Title
Industry Applications, IEEE Transactions on
Publisher
ieee
ISSN
0093-9994
Type
jour
DOI
10.1109/28.556650
Filename
556650
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