DocumentCode :
3099672
Title :
A Heuristic-Based Approach for Enumerating The Minimal Path Sets in a Distribution Network
Author :
Helal, Ibrahim
Author_Institution :
Dept. of Electr. Eng., Ain Shams Univ., Cairo
fYear :
2007
fDate :
24-28 June 2007
Firstpage :
1
Lastpage :
5
Abstract :
Determination of minimal path sets and minimal cut sets in a distribution network is essential not only to evaluate the load point reliability indices but also to investigate the different scenarios for power restoration in case of system major cuts. Moreover the order of the minimal cut sets and the number of the minimal path sets gives indication of where the redundant components are needed to improve the load point reliability indices. Most of existing methodologies to determine the minimal path sets and minimal cut sets use complex programming techniques especially when bidirectional flow links are encountered. Developing a reliability graph for each load point adds to the complexity of these methodologies. This paper introduces a simple heuristic-based approach to determine minimal path sets from graph model which, in turn, can be used to enumerate the minimal cut sets. Beside representing the bi-directional flow with one link, this approach uses a generic reliability graph model for multiple source, multiple load points network.
Keywords :
graph theory; power distribution reliability; power system restoration; bidirectional flow links; complex programming techniques; distribution network; generic reliability graph model; heuristic-based approach; load point reliability; minimal cut sets; minimal path sets; multiple load points network; power restoration; Bidirectional control; Binary trees; Boolean algebra; Electronic mail; Mathematics; Power distribution; Power system reliability; Power system restoration; Substations; Tree graphs; Graph Model; Minimal Cut-Sets; Minimal Path Sets; Path Tracing Algorithm; Power Distribution Reliability; Reliability Network Model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering Society General Meeting, 2007. IEEE
Conference_Location :
Tampa, FL
ISSN :
1932-5517
Print_ISBN :
1-4244-1296-X
Electronic_ISBN :
1932-5517
Type :
conf
DOI :
10.1109/PES.2007.385987
Filename :
4275753
Link To Document :
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