Computational intelligence based technique in multiple facts devices installation for power system security
This paper presents a study on optimal location and sizing of multiple FACTS devices based on Particle Swarm Optimization (PSO) for minimization of transmission losses, and voltage profile improvement, which takes into account the cost of installation. In this study, Static Var Compensator (SVC) and...
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| Format: | Article |
| Language: | English |
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Journal of Theoretical and Applied Information Technology
2012
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| Online Access: | http://eprints.um.edu.my/7812/1/COMPUTATIONAL_INTELLIGENCE_BASED_TECHNIQUE_IN_MULTIPLE_FACTS_DEVICES_INSTALLATION_FOR_POWER_SYSTEM_SECURITY.pdf |
| _version_ | 1825719432588034048 |
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| author | Jumaat, S.A. Musirin, I. Othman, M.M. Mokhlis, Hazlie |
| author_facet | Jumaat, S.A. Musirin, I. Othman, M.M. Mokhlis, Hazlie |
| author_sort | Jumaat, S.A. |
| collection | UM |
| description | This paper presents a study on optimal location and sizing of multiple FACTS devices based on Particle Swarm Optimization (PSO) for minimization of transmission losses, and voltage profile improvement, which takes into account the cost of installation. In this study, Static Var Compensator (SVC) and Thyristor Controlled Series Compensator (TCSC) are chosen as the compensating device for the purposes of maintaining security in power system. Simulations for various loading conditions at several load buses have been conducted in order to evaluate its robustness and feasibility for broad implementation. In addition, installation of several FACTS devices into the system has been also conducted in the attempt to evaluate their impact to the system in terms of loss reduction and voltage profile improvement. Validation through the application on the IEEE 30-bus system indicated that PSO is feasible to achieve the task. Results from the study are compared with those obtained from Evolutionary Programming (EP) method in the attempt to highlight its merit. |
| first_indexed | 2024-03-06T05:19:39Z |
| format | Article |
| id | um.eprints-7812 |
| institution | Universiti Malaya |
| language | English |
| last_indexed | 2024-03-06T05:19:39Z |
| publishDate | 2012 |
| publisher | Journal of Theoretical and Applied Information Technology |
| record_format | dspace |
| spelling | um.eprints-78122019-10-09T09:25:32Z http://eprints.um.edu.my/7812/ Computational intelligence based technique in multiple facts devices installation for power system security Jumaat, S.A. Musirin, I. Othman, M.M. Mokhlis, Hazlie TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering This paper presents a study on optimal location and sizing of multiple FACTS devices based on Particle Swarm Optimization (PSO) for minimization of transmission losses, and voltage profile improvement, which takes into account the cost of installation. In this study, Static Var Compensator (SVC) and Thyristor Controlled Series Compensator (TCSC) are chosen as the compensating device for the purposes of maintaining security in power system. Simulations for various loading conditions at several load buses have been conducted in order to evaluate its robustness and feasibility for broad implementation. In addition, installation of several FACTS devices into the system has been also conducted in the attempt to evaluate their impact to the system in terms of loss reduction and voltage profile improvement. Validation through the application on the IEEE 30-bus system indicated that PSO is feasible to achieve the task. Results from the study are compared with those obtained from Evolutionary Programming (EP) method in the attempt to highlight its merit. Journal of Theoretical and Applied Information Technology 2012 Article PeerReviewed application/pdf en http://eprints.um.edu.my/7812/1/COMPUTATIONAL_INTELLIGENCE_BASED_TECHNIQUE_IN_MULTIPLE_FACTS_DEVICES_INSTALLATION_FOR_POWER_SYSTEM_SECURITY.pdf Jumaat, S.A. and Musirin, I. and Othman, M.M. and Mokhlis, Hazlie (2012) Computational intelligence based technique in multiple facts devices installation for power system security. Journal of Theoretical and Applied Information Technology, 46 (2). pp. 537-549. ISSN 1992-8645, http://www.google.com.my/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&ved=0CDYQFjAA&url=http%3A%2F%2Fwww.jatit.org%2Fvolumes%2FVol46No2%2F2Vol46No2.pdf&ei=fo9vUb3gFIusrAeYtIGICQ&usg=AFQjCNG-d_RtYNseaWQtkv61Jfbj-0PGZQ&sig2=yHp46WAJcyrns4BJrKMYXg |
| spellingShingle | TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Jumaat, S.A. Musirin, I. Othman, M.M. Mokhlis, Hazlie Computational intelligence based technique in multiple facts devices installation for power system security |
| title | Computational intelligence based technique in multiple facts devices installation for power system security |
| title_full | Computational intelligence based technique in multiple facts devices installation for power system security |
| title_fullStr | Computational intelligence based technique in multiple facts devices installation for power system security |
| title_full_unstemmed | Computational intelligence based technique in multiple facts devices installation for power system security |
| title_short | Computational intelligence based technique in multiple facts devices installation for power system security |
| title_sort | computational intelligence based technique in multiple facts devices installation for power system security |
| topic | TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering |
| url | http://eprints.um.edu.my/7812/1/COMPUTATIONAL_INTELLIGENCE_BASED_TECHNIQUE_IN_MULTIPLE_FACTS_DEVICES_INSTALLATION_FOR_POWER_SYSTEM_SECURITY.pdf |
| work_keys_str_mv | AT jumaatsa computationalintelligencebasedtechniqueinmultiplefactsdevicesinstallationforpowersystemsecurity AT musirini computationalintelligencebasedtechniqueinmultiplefactsdevicesinstallationforpowersystemsecurity AT othmanmm computationalintelligencebasedtechniqueinmultiplefactsdevicesinstallationforpowersystemsecurity AT mokhlishazlie computationalintelligencebasedtechniqueinmultiplefactsdevicesinstallationforpowersystemsecurity |