Total transfer capability enhancement with optimal number of UPFC using hybrid TSSA

In this paper, hybrid tabu search and simulated annealing (TSSA) with search space managing methods are proposed to determine the optimal number and allocation of unified power flow controller (UPFC) to enhance power transfer capability of power transactions between generators and loads in power sys...

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Main Authors: Suppakarn Chansareewittaya, Peerapol Jirapong
Format: Conference Proceeding
Published: 2018
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http://cmuir.cmu.ac.th/jspui/handle/6653943832/51513
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-515132018-09-04T06:05:00Z Total transfer capability enhancement with optimal number of UPFC using hybrid TSSA Suppakarn Chansareewittaya Peerapol Jirapong Computer Science Engineering In this paper, hybrid tabu search and simulated annealing (TSSA) with search space managing methods are proposed to determine the optimal number and allocation of unified power flow controller (UPFC) to enhance power transfer capability of power transactions between generators and loads in power systems. Particular optimal allocation includes optimal locations and parameter settings. The objective function is formulated as maximizing total transfer capability (TTC). Power transfer capability determinations are calculated based on the optimal power flow (OPF) technique. Split and non-split search space managing methods are used to improve the solution searching capability. Test results on IEEE 118-bus system show that the proposed hybrid TSSA with optimal number of UPFC criteria and the split search space managing method give higher than those from non-split search space method. © 2012 IEEE. 2018-09-04T06:03:36Z 2018-09-04T06:03:36Z 2012-10-02 Conference Proceeding 2-s2.0-84866747298 10.1109/ECTICon.2012.6254218 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84866747298&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/51513
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Computer Science
Engineering
spellingShingle Computer Science
Engineering
Suppakarn Chansareewittaya
Peerapol Jirapong
Total transfer capability enhancement with optimal number of UPFC using hybrid TSSA
description In this paper, hybrid tabu search and simulated annealing (TSSA) with search space managing methods are proposed to determine the optimal number and allocation of unified power flow controller (UPFC) to enhance power transfer capability of power transactions between generators and loads in power systems. Particular optimal allocation includes optimal locations and parameter settings. The objective function is formulated as maximizing total transfer capability (TTC). Power transfer capability determinations are calculated based on the optimal power flow (OPF) technique. Split and non-split search space managing methods are used to improve the solution searching capability. Test results on IEEE 118-bus system show that the proposed hybrid TSSA with optimal number of UPFC criteria and the split search space managing method give higher than those from non-split search space method. © 2012 IEEE.
format Conference Proceeding
author Suppakarn Chansareewittaya
Peerapol Jirapong
author_facet Suppakarn Chansareewittaya
Peerapol Jirapong
author_sort Suppakarn Chansareewittaya
title Total transfer capability enhancement with optimal number of UPFC using hybrid TSSA
title_short Total transfer capability enhancement with optimal number of UPFC using hybrid TSSA
title_full Total transfer capability enhancement with optimal number of UPFC using hybrid TSSA
title_fullStr Total transfer capability enhancement with optimal number of UPFC using hybrid TSSA
title_full_unstemmed Total transfer capability enhancement with optimal number of UPFC using hybrid TSSA
title_sort total transfer capability enhancement with optimal number of upfc using hybrid tssa
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84866747298&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/51513
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