Optimum network reconfiguration and DGs sizing with allocation simultaneously by using Particle Swarm Optimization (PSO)

This paper presents three stages of methodology. The first stage is to identify the switching operation for radial network configuration while observe the power losses and the voltage profile without Distributed Generation (DG). The second stage is based on previous paper which is feeder reconfigura...

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Main Authors: Mohd Nasir, Mohamad Na'im, Shahrin, Nur Mazura, Sulaima, Mohamad Fani, Jali, Mohd Hafiz, Baharom, Mohamad Faizal
Format: Article
Language:English
Published: Science Publishing Corporation Inc 2014
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Online Access:http://eprints.utem.edu.my/id/eprint/12434/1/IJET14-06-02-278.pdf
http://eprints.utem.edu.my/id/eprint/12434/
https://www.enggjournals.com/ijet/docs/IJET14-06-02-278.pdf
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Institution: Universiti Teknikal Malaysia Melaka
Language: English
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spelling my.utem.eprints.124342023-07-24T08:51:54Z http://eprints.utem.edu.my/id/eprint/12434/ Optimum network reconfiguration and DGs sizing with allocation simultaneously by using Particle Swarm Optimization (PSO) Mohd Nasir, Mohamad Na'im Shahrin, Nur Mazura Sulaima, Mohamad Fani Jali, Mohd Hafiz Baharom, Mohamad Faizal TK Electrical engineering. Electronics Nuclear engineering This paper presents three stages of methodology. The first stage is to identify the switching operation for radial network configuration while observe the power losses and the voltage profile without Distributed Generation (DG). The second stage is based on previous paper which is feeder reconfiguration for loss reduction with DGs. The last stage is sizing and allocation DGs at buses with low voltage profile resulted from the first stage to improve the power losses and voltage profile also comparing the result with the second stage. The objective of this method proposed is to show that allocation of DGs simultaneously based on low voltage profile can improve network power losses and improvement of voltage profile. The result shows that improvement on network power losses is 54.92% from Distribution Network Reconfiguration (DNR) method. All three stages were tested on standards IEEE 33 bus system by using Particle Swarm Optimization (PSO) technique in MATLAB software. This method proved that improvement of power losses and voltage profile by switching and DGs allocation method. Science Publishing Corporation Inc 2014-04 Article PeerReviewed application/pdf en http://eprints.utem.edu.my/id/eprint/12434/1/IJET14-06-02-278.pdf Mohd Nasir, Mohamad Na'im and Shahrin, Nur Mazura and Sulaima, Mohamad Fani and Jali, Mohd Hafiz and Baharom, Mohamad Faizal (2014) Optimum network reconfiguration and DGs sizing with allocation simultaneously by using Particle Swarm Optimization (PSO). International Journal Of Engineering & Technology, 6 (2). pp. 773-780. ISSN 0975-4024 https://www.enggjournals.com/ijet/docs/IJET14-06-02-278.pdf
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Mohd Nasir, Mohamad Na'im
Shahrin, Nur Mazura
Sulaima, Mohamad Fani
Jali, Mohd Hafiz
Baharom, Mohamad Faizal
Optimum network reconfiguration and DGs sizing with allocation simultaneously by using Particle Swarm Optimization (PSO)
description This paper presents three stages of methodology. The first stage is to identify the switching operation for radial network configuration while observe the power losses and the voltage profile without Distributed Generation (DG). The second stage is based on previous paper which is feeder reconfiguration for loss reduction with DGs. The last stage is sizing and allocation DGs at buses with low voltage profile resulted from the first stage to improve the power losses and voltage profile also comparing the result with the second stage. The objective of this method proposed is to show that allocation of DGs simultaneously based on low voltage profile can improve network power losses and improvement of voltage profile. The result shows that improvement on network power losses is 54.92% from Distribution Network Reconfiguration (DNR) method. All three stages were tested on standards IEEE 33 bus system by using Particle Swarm Optimization (PSO) technique in MATLAB software. This method proved that improvement of power losses and voltage profile by switching and DGs allocation method.
format Article
author Mohd Nasir, Mohamad Na'im
Shahrin, Nur Mazura
Sulaima, Mohamad Fani
Jali, Mohd Hafiz
Baharom, Mohamad Faizal
author_facet Mohd Nasir, Mohamad Na'im
Shahrin, Nur Mazura
Sulaima, Mohamad Fani
Jali, Mohd Hafiz
Baharom, Mohamad Faizal
author_sort Mohd Nasir, Mohamad Na'im
title Optimum network reconfiguration and DGs sizing with allocation simultaneously by using Particle Swarm Optimization (PSO)
title_short Optimum network reconfiguration and DGs sizing with allocation simultaneously by using Particle Swarm Optimization (PSO)
title_full Optimum network reconfiguration and DGs sizing with allocation simultaneously by using Particle Swarm Optimization (PSO)
title_fullStr Optimum network reconfiguration and DGs sizing with allocation simultaneously by using Particle Swarm Optimization (PSO)
title_full_unstemmed Optimum network reconfiguration and DGs sizing with allocation simultaneously by using Particle Swarm Optimization (PSO)
title_sort optimum network reconfiguration and dgs sizing with allocation simultaneously by using particle swarm optimization (pso)
publisher Science Publishing Corporation Inc
publishDate 2014
url http://eprints.utem.edu.my/id/eprint/12434/1/IJET14-06-02-278.pdf
http://eprints.utem.edu.my/id/eprint/12434/
https://www.enggjournals.com/ijet/docs/IJET14-06-02-278.pdf
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