Allocation and sizing of Distributed Generation (DG) using Multi Verse Optimizer (MVO)

Minimizing power loss in a distribution system is considered one of the most challenging areas of study. Losses are more significant in the distribution rather than in the transmission system. The electrical infrastructure has created an opportunity for numerous engineering innovations, consisting o...

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Main Authors: Nori Elfahmi, Darwis, Nor Rul Hasma, Abdullah, Ibrahim Haruna, Shanono, Mahfuzah, Mustafa, Rosdiyana, Samad
Format: Conference or Workshop Item
Language:English
English
Published: Institution of Engineering and Technology 2022
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/42068/1/Allocation%20and%20sizing%20of%20Distributed%20Generation%20%28DG%29.pdf
http://umpir.ump.edu.my/id/eprint/42068/2/Allocation%20and%20sizing%20of%20Distributed%20Generation%20%28DG%29%20using%20Multi%20Verse%20Optimizer%20%28MVO%29_ABS.pdf
http://umpir.ump.edu.my/id/eprint/42068/
https://doi.org/10.1049/icp.2022.2602
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spelling my.ump.umpir.420682024-09-30T04:43:20Z http://umpir.ump.edu.my/id/eprint/42068/ Allocation and sizing of Distributed Generation (DG) using Multi Verse Optimizer (MVO) Nori Elfahmi, Darwis Nor Rul Hasma, Abdullah Ibrahim Haruna, Shanono Mahfuzah, Mustafa Rosdiyana, Samad T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Minimizing power loss in a distribution system is considered one of the most challenging areas of study. Losses are more significant in the distribution rather than in the transmission system. The electrical infrastructure has created an opportunity for numerous engineering innovations, consisting of Distributed Generation (DG), to obtain optimal benefit. The parameters like the size as well as the most desired location has to be taken into consideration to minimize it. This article centres on identifying the optimum placement and sizing of DG to decrease the losses in the system using Multi-Verse Optimization (MVO) technique. The total power loss equation is considered the objective-function for the development technique and can reduce the total losses of the system. The effectiveness of the proposed method was validated on the standard IEEE 30-bus Reliability Test System (RTS). Institution of Engineering and Technology 2022 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/42068/1/Allocation%20and%20sizing%20of%20Distributed%20Generation%20%28DG%29.pdf pdf en http://umpir.ump.edu.my/id/eprint/42068/2/Allocation%20and%20sizing%20of%20Distributed%20Generation%20%28DG%29%20using%20Multi%20Verse%20Optimizer%20%28MVO%29_ABS.pdf Nori Elfahmi, Darwis and Nor Rul Hasma, Abdullah and Ibrahim Haruna, Shanono and Mahfuzah, Mustafa and Rosdiyana, Samad (2022) Allocation and sizing of Distributed Generation (DG) using Multi Verse Optimizer (MVO). In: IET Conference Proceedings. 2022 Engineering Technology International Conference, ETIC 2022 , 7 - 8 September 2022 , Kuantan, Virtual. pp. 190-197., 2022 (22). ISSN 2732-4494 ISBN 978-183953782-0 (Published) https://doi.org/10.1049/icp.2022.2602
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Nori Elfahmi, Darwis
Nor Rul Hasma, Abdullah
Ibrahim Haruna, Shanono
Mahfuzah, Mustafa
Rosdiyana, Samad
Allocation and sizing of Distributed Generation (DG) using Multi Verse Optimizer (MVO)
description Minimizing power loss in a distribution system is considered one of the most challenging areas of study. Losses are more significant in the distribution rather than in the transmission system. The electrical infrastructure has created an opportunity for numerous engineering innovations, consisting of Distributed Generation (DG), to obtain optimal benefit. The parameters like the size as well as the most desired location has to be taken into consideration to minimize it. This article centres on identifying the optimum placement and sizing of DG to decrease the losses in the system using Multi-Verse Optimization (MVO) technique. The total power loss equation is considered the objective-function for the development technique and can reduce the total losses of the system. The effectiveness of the proposed method was validated on the standard IEEE 30-bus Reliability Test System (RTS).
format Conference or Workshop Item
author Nori Elfahmi, Darwis
Nor Rul Hasma, Abdullah
Ibrahim Haruna, Shanono
Mahfuzah, Mustafa
Rosdiyana, Samad
author_facet Nori Elfahmi, Darwis
Nor Rul Hasma, Abdullah
Ibrahim Haruna, Shanono
Mahfuzah, Mustafa
Rosdiyana, Samad
author_sort Nori Elfahmi, Darwis
title Allocation and sizing of Distributed Generation (DG) using Multi Verse Optimizer (MVO)
title_short Allocation and sizing of Distributed Generation (DG) using Multi Verse Optimizer (MVO)
title_full Allocation and sizing of Distributed Generation (DG) using Multi Verse Optimizer (MVO)
title_fullStr Allocation and sizing of Distributed Generation (DG) using Multi Verse Optimizer (MVO)
title_full_unstemmed Allocation and sizing of Distributed Generation (DG) using Multi Verse Optimizer (MVO)
title_sort allocation and sizing of distributed generation (dg) using multi verse optimizer (mvo)
publisher Institution of Engineering and Technology
publishDate 2022
url http://umpir.ump.edu.my/id/eprint/42068/1/Allocation%20and%20sizing%20of%20Distributed%20Generation%20%28DG%29.pdf
http://umpir.ump.edu.my/id/eprint/42068/2/Allocation%20and%20sizing%20of%20Distributed%20Generation%20%28DG%29%20using%20Multi%20Verse%20Optimizer%20%28MVO%29_ABS.pdf
http://umpir.ump.edu.my/id/eprint/42068/
https://doi.org/10.1049/icp.2022.2602
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