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

© 2014, Springer-Verlag Berlin Heidelberg. In this paper, a new hybrid particle swarm optimization (HPSO) based on particle swarm optimization (PSO), evolutionary programming (EP), tabu search (TS), and simulated annealing (SA) is proposed. The aim of merging is to determine the optimal allocation o...

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Main Authors: Suppakarn Chansareewittaya, Peerapol Jirapong
Format: Journal
Published: 2018
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Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84939968832&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/54492
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-544922018-09-04T10:19:15Z Power transfer capability enhancement with multitype FACTS controllers using hybrid particle swarm optimization Suppakarn Chansareewittaya Peerapol Jirapong Engineering Mathematics © 2014, Springer-Verlag Berlin Heidelberg. In this paper, a new hybrid particle swarm optimization (HPSO) based on particle swarm optimization (PSO), evolutionary programming (EP), tabu search (TS), and simulated annealing (SA) is proposed. The aim of merging is to determine the optimal allocation of multi-type flexible AC transmission system (FACTS) controllers for simultaneously maximizing the power transfer capability of power transactions between generators and loads in power systems without violating system constraints. The particular optimal allocation includes optimal types, locations, and parameter settings. Four types of FACTS controllers are included: thyristor-controlled series capacitor, thyristor-controlled phase shifter, static var compensator, and unified power flow controller. Power transfer capability determinations are calculated based on optimal power flow (OPF) technique. Test results on IEEE 118-bus system and Thai Power 160-Bus system indicate that optimally placed OPF with FACTS controllers by the HPSO could enhance the higher power transfer capability more than those from EP, TS, and hybrid TS/SA. Therefore, the installation of FACTS controllers with optimal allocations is beneficial for the further expansion plans. 2018-09-04T10:14:47Z 2018-09-04T10:14:47Z 2015-06-12 Journal 14320487 09487921 2-s2.0-84939968832 10.1007/s00202-014-0317-y https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84939968832&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/54492
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Engineering
Mathematics
spellingShingle Engineering
Mathematics
Suppakarn Chansareewittaya
Peerapol Jirapong
Power transfer capability enhancement with multitype FACTS controllers using hybrid particle swarm optimization
description © 2014, Springer-Verlag Berlin Heidelberg. In this paper, a new hybrid particle swarm optimization (HPSO) based on particle swarm optimization (PSO), evolutionary programming (EP), tabu search (TS), and simulated annealing (SA) is proposed. The aim of merging is to determine the optimal allocation of multi-type flexible AC transmission system (FACTS) controllers for simultaneously maximizing the power transfer capability of power transactions between generators and loads in power systems without violating system constraints. The particular optimal allocation includes optimal types, locations, and parameter settings. Four types of FACTS controllers are included: thyristor-controlled series capacitor, thyristor-controlled phase shifter, static var compensator, and unified power flow controller. Power transfer capability determinations are calculated based on optimal power flow (OPF) technique. Test results on IEEE 118-bus system and Thai Power 160-Bus system indicate that optimally placed OPF with FACTS controllers by the HPSO could enhance the higher power transfer capability more than those from EP, TS, and hybrid TS/SA. Therefore, the installation of FACTS controllers with optimal allocations is beneficial for the further expansion plans.
format Journal
author Suppakarn Chansareewittaya
Peerapol Jirapong
author_facet Suppakarn Chansareewittaya
Peerapol Jirapong
author_sort Suppakarn Chansareewittaya
title Power transfer capability enhancement with multitype FACTS controllers using hybrid particle swarm optimization
title_short Power transfer capability enhancement with multitype FACTS controllers using hybrid particle swarm optimization
title_full Power transfer capability enhancement with multitype FACTS controllers using hybrid particle swarm optimization
title_fullStr Power transfer capability enhancement with multitype FACTS controllers using hybrid particle swarm optimization
title_full_unstemmed Power transfer capability enhancement with multitype FACTS controllers using hybrid particle swarm optimization
title_sort power transfer capability enhancement with multitype facts controllers using hybrid particle swarm optimization
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84939968832&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/54492
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