DocumentCode :
821862
Title :
An efficient algorithm for assessing reliability indexes of general distribution systems
Author :
Wang, Zhuding ; Shokooh, Farrokh ; Qiu, Jun
Author_Institution :
Oper. Technol. Inc., Lake Forest, CA, USA
Volume :
17
Issue :
3
fYear :
2002
fDate :
8/1/2002 12:00:00 AM
Firstpage :
608
Lastpage :
614
Abstract :
This paper presents a practical reliability assessment algorithm for distribution systems of general network configurations. This algorithm is an extension of the analytical simulation approach for radial distribution systems. In the proposed algorithm, the meshed network is first converted to a radial network. All network elements are divided mainly into three classes according to the possibility for them to obtain power supplies from different directions. Accordingly, three different methods are employed to obtain two types of reliability topology zones for the elements. The algorithm is efficient for large-scale radial/meshed distribution systems, and can accommodate the effects of fault isolation and load restoration. The validity and effectiveness of the proposed algorithm is demonstrated by applying a computer program developed based on the proposed algorithm to a number of test systems and hundreds of real distribution networks.
Keywords :
fault location; power distribution faults; power distribution reliability; power system restoration; computer program; distribution systems; fault isolation; load restoration; meshed network; network analysis; network configurations; radial distribution systems; reliability analysis; reliability indexes assessment; reliability topology zones; Algorithm design and analysis; Analytical models; Computer network reliability; Computer networks; Distributed computing; Large-scale systems; Network topology; Power supplies; Power system reliability; Power system restoration;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/TPWRS.2002.800904
Filename :
1033700
Link To Document :
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