Optimal allocation of multi-type FACTS controllers for total transfer capability enhancement using hybrid particle swarm optimization

In this study, the hybrid particle swarm optimization (hybrid PSO) based on particle swarm optimization (PSO), evolutionary programming (EP), and tabu search (TS) is proposed to determine the optimal allocation of multi-type flexible AC transmission system (FACTS) controllers. Simultaneous-maximized...

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Main Authors: Chansareewittaya S., Jirapong P.
Format: Conference or Workshop Item
Language:English
Published: IEEE Computer Society 2014
Online Access:http://www.scopus.com/inward/record.url?eid=2-s2.0-84905381250&partnerID=40&md5=adf3180a9566e4dad34519adfaa5959b
http://cmuir.cmu.ac.th/handle/6653943832/37580
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Institution: Chiang Mai University
Language: English
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spelling th-cmuir.6653943832-375802014-12-09T05:49:24Z Optimal allocation of multi-type FACTS controllers for total transfer capability enhancement using hybrid particle swarm optimization Chansareewittaya S. Jirapong P. In this study, the hybrid particle swarm optimization (hybrid PSO) based on particle swarm optimization (PSO), evolutionary programming (EP), and tabu search (TS) is proposed to determine the optimal allocation of multi-type flexible AC transmission system (FACTS) controllers. Simultaneous-maximized power transfer capability of power transactions between generators and loads without violating system constraints could be obtained. This particular optimal allocation includes optimal types, locations, and parameter settings. Four types of FACTS controllers consist of thyristor-controlled series capacitor (TCSC), thyristor-controlled phase shifter (TCPS), unified power flow controller (UPFC), and static var compensator (SVC). Power transfer capability are calculated based on the optimal power flow (OPF) technique. All test results on IEEE RTS 24-bus system and IEEE 30-bus system indicate that optimally placed OPF with FACTS controllers using the hybrid PSO can enhance higher power transfer capability compared to those from only EP. © 2014 IEEE. 2014-12-09T05:49:24Z 2014-12-09T05:49:24Z 2014 Conference Paper 9781479929924 10.1109/ECTICon.2014.6839754 106689 http://www.scopus.com/inward/record.url?eid=2-s2.0-84905381250&partnerID=40&md5=adf3180a9566e4dad34519adfaa5959b http://cmuir.cmu.ac.th/handle/6653943832/37580 English IEEE Computer Society
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
language English
description In this study, the hybrid particle swarm optimization (hybrid PSO) based on particle swarm optimization (PSO), evolutionary programming (EP), and tabu search (TS) is proposed to determine the optimal allocation of multi-type flexible AC transmission system (FACTS) controllers. Simultaneous-maximized power transfer capability of power transactions between generators and loads without violating system constraints could be obtained. This particular optimal allocation includes optimal types, locations, and parameter settings. Four types of FACTS controllers consist of thyristor-controlled series capacitor (TCSC), thyristor-controlled phase shifter (TCPS), unified power flow controller (UPFC), and static var compensator (SVC). Power transfer capability are calculated based on the optimal power flow (OPF) technique. All test results on IEEE RTS 24-bus system and IEEE 30-bus system indicate that optimally placed OPF with FACTS controllers using the hybrid PSO can enhance higher power transfer capability compared to those from only EP. © 2014 IEEE.
format Conference or Workshop Item
author Chansareewittaya S.
Jirapong P.
spellingShingle Chansareewittaya S.
Jirapong P.
Optimal allocation of multi-type FACTS controllers for total transfer capability enhancement using hybrid particle swarm optimization
author_facet Chansareewittaya S.
Jirapong P.
author_sort Chansareewittaya S.
title Optimal allocation of multi-type FACTS controllers for total transfer capability enhancement using hybrid particle swarm optimization
title_short Optimal allocation of multi-type FACTS controllers for total transfer capability enhancement using hybrid particle swarm optimization
title_full Optimal allocation of multi-type FACTS controllers for total transfer capability enhancement using hybrid particle swarm optimization
title_fullStr Optimal allocation of multi-type FACTS controllers for total transfer capability enhancement using hybrid particle swarm optimization
title_full_unstemmed Optimal allocation of multi-type FACTS controllers for total transfer capability enhancement using hybrid particle swarm optimization
title_sort optimal allocation of multi-type facts controllers for total transfer capability enhancement using hybrid particle swarm optimization
publisher IEEE Computer Society
publishDate 2014
url http://www.scopus.com/inward/record.url?eid=2-s2.0-84905381250&partnerID=40&md5=adf3180a9566e4dad34519adfaa5959b
http://cmuir.cmu.ac.th/handle/6653943832/37580
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