Computational Intelligence Technique For Static Var Compensation (SVC) Installation Considering Multi-Contingencies (N-m)
This paper discusses about a new approach based on Evolutionary Programming (EP) optimization technique for installation SVC considering multi-contingencies (N-m) which occurred in the power system. The proposed technique determines the optimum sizing in order to reduce the total transmission loss i...
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| Format: | Conference or Workshop Item |
| Language: | en |
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2015
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| Online Access: | http://umpir.ump.edu.my/id/eprint/11275/1/Computational%20Intelligence%20Technique%20For%20Static%20Var%20Compensation%20%28SVC%29%20Installation%20Considering%20Multi-Contingencies%20%28N-m%29.pdf http://umpir.ump.edu.my/id/eprint/11275/ |
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| author | Mahaletchumi, Morgan Nor Rul Hasma, Abdullah M. H., Sulaiman Mahfuzah, Mustafa Rosdiyana, Samad |
| author_facet | Mahaletchumi, Morgan Nor Rul Hasma, Abdullah M. H., Sulaiman Mahfuzah, Mustafa Rosdiyana, Samad |
| author_sort | Mahaletchumi, Morgan |
| building | UMPSA Library |
| collection | Institutional Repository |
| content_provider | Universiti Malaysia Pahang Al-Sultan Abdullah |
| content_source | UMPSA Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | This paper discusses about a new approach based on Evolutionary Programming (EP) optimization technique for installation SVC considering multi-contingencies (N-m) which occurred in the power system. The proposed technique determines the optimum sizing in order to reduce the total transmission loss in the system and this would be the objective function of the transmissions system network. In addition, Static Voltage stability Index (SVSI) was used as tool to indicate the location that to be installed into the system. A computer program was written in MATLAB. The design program tested on IEEE 30 Bus-RTS. Finally, comparatives studies made between EP and Artificial Immune System (AIS). |
| format | Conference or Workshop Item |
| id | my.ump.umpir.11275 |
| institution | Universiti Malaysia Pahang |
| language | en |
| publishDate | 2015 |
| record_format | eprints |
| spelling | my.ump.umpir.112752018-04-11T01:36:33Z http://umpir.ump.edu.my/id/eprint/11275/ Computational Intelligence Technique For Static Var Compensation (SVC) Installation Considering Multi-Contingencies (N-m) Mahaletchumi, Morgan Nor Rul Hasma, Abdullah M. H., Sulaiman Mahfuzah, Mustafa Rosdiyana, Samad TK Electrical engineering. Electronics Nuclear engineering This paper discusses about a new approach based on Evolutionary Programming (EP) optimization technique for installation SVC considering multi-contingencies (N-m) which occurred in the power system. The proposed technique determines the optimum sizing in order to reduce the total transmission loss in the system and this would be the objective function of the transmissions system network. In addition, Static Voltage stability Index (SVSI) was used as tool to indicate the location that to be installed into the system. A computer program was written in MATLAB. The design program tested on IEEE 30 Bus-RTS. Finally, comparatives studies made between EP and Artificial Immune System (AIS). 2015 Conference or Workshop Item NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/11275/1/Computational%20Intelligence%20Technique%20For%20Static%20Var%20Compensation%20%28SVC%29%20Installation%20Considering%20Multi-Contingencies%20%28N-m%29.pdf Mahaletchumi, Morgan and Nor Rul Hasma, Abdullah and M. H., Sulaiman and Mahfuzah, Mustafa and Rosdiyana, Samad (2015) Computational Intelligence Technique For Static Var Compensation (SVC) Installation Considering Multi-Contingencies (N-m). In: International Conference on Electrical, Control and Computer Engineering (INECCE 2015 , 27-28 Oct 2015 , Kuantan, Pahang. . (Unpublished) (Unpublished) |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Mahaletchumi, Morgan Nor Rul Hasma, Abdullah M. H., Sulaiman Mahfuzah, Mustafa Rosdiyana, Samad Computational Intelligence Technique For Static Var Compensation (SVC) Installation Considering Multi-Contingencies (N-m) |
| title | Computational Intelligence Technique For Static Var Compensation (SVC) Installation Considering Multi-Contingencies (N-m)
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| title_full | Computational Intelligence Technique For Static Var Compensation (SVC) Installation Considering Multi-Contingencies (N-m)
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| title_fullStr | Computational Intelligence Technique For Static Var Compensation (SVC) Installation Considering Multi-Contingencies (N-m)
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| title_full_unstemmed | Computational Intelligence Technique For Static Var Compensation (SVC) Installation Considering Multi-Contingencies (N-m)
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| title_short | Computational Intelligence Technique For Static Var Compensation (SVC) Installation Considering Multi-Contingencies (N-m)
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| title_sort | computational intelligence technique for static var compensation (svc) installation considering multi-contingencies (n-m) |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/11275/1/Computational%20Intelligence%20Technique%20For%20Static%20Var%20Compensation%20%28SVC%29%20Installation%20Considering%20Multi-Contingencies%20%28N-m%29.pdf http://umpir.ump.edu.my/id/eprint/11275/ |
| url_provider | http://umpir.ump.edu.my/ |