Computational Intelligence Technique For Static Var Compensation (SVC) Installation Considering Multi-Contingencies (N-m)

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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Bibliographic Details
Main Authors: Mahaletchumi, Morgan, Nor Rul Hasma, Abdullah, M. H., Sulaiman, Mahfuzah, Mustafa, Rosdiyana, Samad
Format: Conference or Workshop Item
Language:English
Published: 2015
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/11275/
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
id ump-11275
recordtype eprints
spelling ump-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)
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic TK Electrical engineering. Electronics Nuclear engineering
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)
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
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
title Computational Intelligence Technique For Static Var Compensation (SVC) Installation Considering Multi-Contingencies (N-m)
title_short Computational Intelligence Technique For Static Var Compensation (SVC) Installation Considering Multi-Contingencies (N-m)
title_full Computational Intelligence Technique For Static Var Compensation (SVC) Installation Considering Multi-Contingencies (N-m)
title_fullStr Computational Intelligence Technique For Static Var Compensation (SVC) Installation Considering Multi-Contingencies (N-m)
title_full_unstemmed Computational Intelligence Technique For Static Var Compensation (SVC) Installation Considering Multi-Contingencies (N-m)
title_sort computational intelligence technique for static var compensation (svc) installation considering multi-contingencies (n-m)
publishDate 2015
url http://umpir.ump.edu.my/id/eprint/11275/
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
first_indexed 2023-09-18T22:11:50Z
last_indexed 2023-09-18T22:11:50Z
_version_ 1777415079588790272

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