A new approach to fault section estimation in power systems using Ant system

Electric Power Systems Research

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Main Authors: Chang, C.S., Tian, L., Wen, F.S.
Other Authors: ELECTRICAL ENGINEERING
Format: Article
Published: 2014
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Online Access:http://scholarbank.nus.edu.sg/handle/10635/54493
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-544932024-11-10T07:49:14Z A new approach to fault section estimation in power systems using Ant system Chang, C.S. Tian, L. Wen, F.S. ELECTRICAL ENGINEERING Ant system Fault section estimation Genetic algorithm Electric Power Systems Research 49 1 63-70 EPSRD 2014-06-16T09:31:43Z 2014-06-16T09:31:43Z 1999-02-15 Article Chang, C.S.,Tian, L.,Wen, F.S. (1999-02-15). A new approach to fault section estimation in power systems using Ant system. Electric Power Systems Research 49 (1) : 63-70. ScholarBank@NUS Repository. 03787796 http://scholarbank.nus.edu.sg/handle/10635/54493 NOT_IN_WOS Scopus
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
topic Ant system
Fault section estimation
Genetic algorithm
spellingShingle Ant system
Fault section estimation
Genetic algorithm
Chang, C.S.
Tian, L.
Wen, F.S.
A new approach to fault section estimation in power systems using Ant system
description Electric Power Systems Research
author2 ELECTRICAL ENGINEERING
author_facet ELECTRICAL ENGINEERING
Chang, C.S.
Tian, L.
Wen, F.S.
format Article
author Chang, C.S.
Tian, L.
Wen, F.S.
author_sort Chang, C.S.
title A new approach to fault section estimation in power systems using Ant system
title_short A new approach to fault section estimation in power systems using Ant system
title_full A new approach to fault section estimation in power systems using Ant system
title_fullStr A new approach to fault section estimation in power systems using Ant system
title_full_unstemmed A new approach to fault section estimation in power systems using Ant system
title_sort new approach to fault section estimation in power systems using ant system
publishDate 2014
url http://scholarbank.nus.edu.sg/handle/10635/54493
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