Power transfer capability enhancement with optimal maximum number of facts controllers using evolutionary programming

In this paper, evolutionary programming (EP) with optimal maximum number of FACTS controller and search space managing methods are proposed to determine the optimal allocation of FACTS controllers to enhance power transfer capability of power transactions between generators and load buses. Particula...

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Main Authors: Chansareewittaya S., Jirapong P.
Format: Conference or Workshop Item
Language:English
Published: 2014
Online Access:http://www.scopus.com/inward/record.url?eid=2-s2.0-84856545763&partnerID=40&md5=101caaaff6cde1194696ce1040628d8e
http://cmuir.cmu.ac.th/handle/6653943832/1529
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Institution: Chiang Mai University
Language: English
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spelling th-cmuir.6653943832-15292014-08-29T09:29:26Z Power transfer capability enhancement with optimal maximum number of facts controllers using evolutionary programming Chansareewittaya S. Jirapong P. In this paper, evolutionary programming (EP) with optimal maximum number of FACTS controller and search space managing methods are proposed to determine the optimal allocation of FACTS controllers to enhance power transfer capability of power transactions between generators and load buses. Particular optimal allocation includes optimal locations and parameter settings. Two types of FACTS controllers including thyristor-controlled series capacitor (TCSC) and static var compensator (SVC) are used individually in this study. The objective function is formulated as maximizing total transfer capability (TTC) and minimizing power losses. Power transfer capability determinations are calculated based on the optimal power flow (OPF) technique. Split and non-split search space managing methods are used. Test results on IEEE 118-bus system and the practical Electricity Generating Authority of Thailand (EGAT) 58-bus system showed that EP with optimal maximum number of FACTS and the proposed split search space managing method gave higher TTC and less maximum number of FACTS controllers than those from non-split method. Therefore, the installation of FACTS controllers with optimal maximum number and optimal allocation are beneficial for the further expansion plans. © 2011 IEEE. 2014-08-29T09:29:26Z 2014-08-29T09:29:26Z 2011 Conference Paper 9.78161E+12 10.1109/IECON.2011.6119996 88253 IEPRE http://www.scopus.com/inward/record.url?eid=2-s2.0-84856545763&partnerID=40&md5=101caaaff6cde1194696ce1040628d8e http://cmuir.cmu.ac.th/handle/6653943832/1529 English
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
language English
description In this paper, evolutionary programming (EP) with optimal maximum number of FACTS controller and search space managing methods are proposed to determine the optimal allocation of FACTS controllers to enhance power transfer capability of power transactions between generators and load buses. Particular optimal allocation includes optimal locations and parameter settings. Two types of FACTS controllers including thyristor-controlled series capacitor (TCSC) and static var compensator (SVC) are used individually in this study. The objective function is formulated as maximizing total transfer capability (TTC) and minimizing power losses. Power transfer capability determinations are calculated based on the optimal power flow (OPF) technique. Split and non-split search space managing methods are used. Test results on IEEE 118-bus system and the practical Electricity Generating Authority of Thailand (EGAT) 58-bus system showed that EP with optimal maximum number of FACTS and the proposed split search space managing method gave higher TTC and less maximum number of FACTS controllers than those from non-split method. Therefore, the installation of FACTS controllers with optimal maximum number and optimal allocation are beneficial for the further expansion plans. © 2011 IEEE.
format Conference or Workshop Item
author Chansareewittaya S.
Jirapong P.
spellingShingle Chansareewittaya S.
Jirapong P.
Power transfer capability enhancement with optimal maximum number of facts controllers using evolutionary programming
author_facet Chansareewittaya S.
Jirapong P.
author_sort Chansareewittaya S.
title Power transfer capability enhancement with optimal maximum number of facts controllers using evolutionary programming
title_short Power transfer capability enhancement with optimal maximum number of facts controllers using evolutionary programming
title_full Power transfer capability enhancement with optimal maximum number of facts controllers using evolutionary programming
title_fullStr Power transfer capability enhancement with optimal maximum number of facts controllers using evolutionary programming
title_full_unstemmed Power transfer capability enhancement with optimal maximum number of facts controllers using evolutionary programming
title_sort power transfer capability enhancement with optimal maximum number of facts controllers using evolutionary programming
publishDate 2014
url http://www.scopus.com/inward/record.url?eid=2-s2.0-84856545763&partnerID=40&md5=101caaaff6cde1194696ce1040628d8e
http://cmuir.cmu.ac.th/handle/6653943832/1529
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