Power transfer capability enhancement with multitype FACTS controllers using particle swarm optimization

In this paper, particle swarm optimization (PSO) is proposed to determine the optimal allocation of multitype FACTS controllers to enhance power transfer capability of power transactions between source and sink areas in power systems. The particularly optimal allocation includes optimal types, locat...

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Main Authors: Chansareewittaya S., Jirapong P.
Format: Conference Proceeding
Published: 2017
Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=79951649024&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/43156
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-431562017-09-28T06:51:12Z Power transfer capability enhancement with multitype FACTS controllers using particle swarm optimization Chansareewittaya S. Jirapong P. In this paper, particle swarm optimization (PSO) is proposed to determine the optimal allocation of multitype FACTS controllers to enhance power transfer capability of power transactions between source and sink areas in power systems. The particularly optimal allocation includes optimal types, locations, and parameter settings. Three types of FACTS controllers including unified power flow controller (UPFC), thyristor-controlled series capacitor (TCSC), and static var compensator (SVC) are used in this study. The objective function is formulated as maximizing the benefit to cost ratio. The benefits mean increasing total transfer capability (TTC) with deducting system losses while the cost are the investment of FACTS controllers installation. Power transfer capability determinations are calculated based on optimal power flow (OPF) technique. Test results on the modified IEEE 30-bus system from PSO are compared with those from evolutionary programming (EP). The results show that PSO can be used to determine the optimal allocation of multitype FACTS controllers. The optimally placed OPF with FACTS controllers using PSO enhance higher power transfer capability than those from EP. Moreover, PSO gives higher benefit to cost ratio and faster convergence than EP for all transfer areas. Therefore, this installation is worthwhile and beneficial for the decision making of investment costs and further expansion plans. ©2010 IEEE. 2017-09-28T06:51:12Z 2017-09-28T06:51:12Z 2010-12-01 Conference Proceeding 2-s2.0-79951649024 10.1109/TENCON.2010.5685893 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=79951649024&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/43156
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
description In this paper, particle swarm optimization (PSO) is proposed to determine the optimal allocation of multitype FACTS controllers to enhance power transfer capability of power transactions between source and sink areas in power systems. The particularly optimal allocation includes optimal types, locations, and parameter settings. Three types of FACTS controllers including unified power flow controller (UPFC), thyristor-controlled series capacitor (TCSC), and static var compensator (SVC) are used in this study. The objective function is formulated as maximizing the benefit to cost ratio. The benefits mean increasing total transfer capability (TTC) with deducting system losses while the cost are the investment of FACTS controllers installation. Power transfer capability determinations are calculated based on optimal power flow (OPF) technique. Test results on the modified IEEE 30-bus system from PSO are compared with those from evolutionary programming (EP). The results show that PSO can be used to determine the optimal allocation of multitype FACTS controllers. The optimally placed OPF with FACTS controllers using PSO enhance higher power transfer capability than those from EP. Moreover, PSO gives higher benefit to cost ratio and faster convergence than EP for all transfer areas. Therefore, this installation is worthwhile and beneficial for the decision making of investment costs and further expansion plans. ©2010 IEEE.
format Conference Proceeding
author Chansareewittaya S.
Jirapong P.
spellingShingle Chansareewittaya S.
Jirapong P.
Power transfer capability enhancement with multitype FACTS controllers using particle swarm optimization
author_facet Chansareewittaya S.
Jirapong P.
author_sort Chansareewittaya S.
title Power transfer capability enhancement with multitype FACTS controllers using particle swarm optimization
title_short Power transfer capability enhancement with multitype FACTS controllers using particle swarm optimization
title_full Power transfer capability enhancement with multitype FACTS controllers using particle swarm optimization
title_fullStr Power transfer capability enhancement with multitype FACTS controllers using particle swarm optimization
title_full_unstemmed Power transfer capability enhancement with multitype FACTS controllers using particle swarm optimization
title_sort power transfer capability enhancement with multitype facts controllers using particle swarm optimization
publishDate 2017
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=79951649024&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/43156
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