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...

Full description

Saved in:
Bibliographic Details
Main Authors: Suppakarn Chansareewittaya, Peerapol Jirapong
Format: Conference Proceeding
Published: 2018
Subjects:
Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=79951649024&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/50697
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Chiang Mai University
id th-cmuir.6653943832-50697
record_format dspace
spelling th-cmuir.6653943832-506972018-09-04T04:45:26Z Power transfer capability enhancement with multitype FACTS controllers using particle swarm optimization Suppakarn Chansareewittaya Peerapol Jirapong Computer Science Engineering 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. 2018-09-04T04:44:27Z 2018-09-04T04:44:27Z 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/6653943832/50697
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
Power transfer capability enhancement with multitype FACTS controllers using particle swarm optimization
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 Suppakarn Chansareewittaya
Peerapol Jirapong
author_facet Suppakarn Chansareewittaya
Peerapol Jirapong
author_sort Suppakarn Chansareewittaya
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 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=79951649024&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/50697
_version_ 1681423636551958528