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Integrated Intelligent Technique for Loss Control in Distribution System via Distributed Generation Installation Under Load Variations

As power consumption rises, it is essential to minimize line loss to maintain uninterrupted service to the end customer. Expansion of existing power plants has numerous environmental and economic hurdles, necessitating a careful analysis of local best options. As a result, several Distributed Genera...

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Main Authors:	Abdullah A., Musirin I., Othman M.M., Rahim S.R.A., Mansor M.H., Shaaya S.A., Senthil Kumar A.V.
Other Authors:	57197864035
Format:	Conference paper
Published:	Springer Science and Business Media Deutschland GmbH 2025
Subjects:	Computer programming Electric loads Reactive power Risk management Distribution systems Intelligent techniques Line loss Load variations Loss control Optimal placement and sizings Optimisations Powerloss Radial distribution systems Under loads Distributed power generation
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id	my.uniten.dspace-37028
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spelling	my.uniten.dspace-370282025-03-03T15:46:45Z Integrated Intelligent Technique for Loss Control in Distribution System via Distributed Generation Installation Under Load Variations Abdullah A. Musirin I. Othman M.M. Rahim S.R.A. Mansor M.H. Shaaya S.A. Senthil Kumar A.V. 57197864035 8620004100 35944613200 11639107900 56372667100 16022846200 56888921600 Computer programming Electric loads Reactive power Risk management Distribution systems Intelligent techniques Line loss Load variations Loss control Optimal placement and sizings Optimisations Powerloss Radial distribution systems Under loads Distributed power generation As power consumption rises, it is essential to minimize line loss to maintain uninterrupted service to the end customer. Expansion of existing power plants has numerous environmental and economic hurdles, necessitating a careful analysis of local best options. As a result, several Distributed Generation (DG) technologies have been integrated into the power system. This paper introduces Integrated Immune Moth Flame Evolutionary Programming (IIMFEP) as a new hybrid method for planning distributed generation in distribution systems. The IIMFEP determines the optimal sizing and placement of DG Type II that supplies reactive power under load variations to mitigate power loss in a system. Utilizing the IEEE 69-Bus Radial Distribution Systems (RDS), a comparison is made between the IIMFEP method and Moth Flame Optimization (MFO), Artificial Immune System (AIS) and Evolutionary Programming (EP). The IIMFEP outperformed the other three techniques, which managed to achieve the lowest total system power loss. As the system?s real and reactive loads increase, so does the system?s overall power loss. Therefore, DGs must inject more reactive power to compensate for the power loss. The research findings�indicate that the proposed IIMFEP reduces system power losses more effectively. The proposed IIMFEP is, therefore, a viable alternative solution addressing optimal DG difficulties in RDS. ? The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. Final 2025-03-03T07:46:45Z 2025-03-03T07:46:45Z 2024 Conference paper 10.1007/978-981-97-3940-0_75 2-s2.0-85198751519 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198751519&doi=10.1007%2f978-981-97-3940-0_75&partnerID=40&md5=8f54bf09b76167221376240996c551d2 https://irepository.uniten.edu.my/handle/123456789/37028 1208 LNEE 682 688 Springer Science and Business Media Deutschland GmbH Scopus
institution	Universiti Tenaga Nasional
building	UNITEN Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tenaga Nasional
content_source	UNITEN Institutional Repository
url_provider	http://dspace.uniten.edu.my/
topic	Computer programming Electric loads Reactive power Risk management Distribution systems Intelligent techniques Line loss Load variations Loss control Optimal placement and sizings Optimisations Powerloss Radial distribution systems Under loads Distributed power generation
spellingShingle	Computer programming Electric loads Reactive power Risk management Distribution systems Intelligent techniques Line loss Load variations Loss control Optimal placement and sizings Optimisations Powerloss Radial distribution systems Under loads Distributed power generation Abdullah A. Musirin I. Othman M.M. Rahim S.R.A. Mansor M.H. Shaaya S.A. Senthil Kumar A.V. Integrated Intelligent Technique for Loss Control in Distribution System via Distributed Generation Installation Under Load Variations
description	As power consumption rises, it is essential to minimize line loss to maintain uninterrupted service to the end customer. Expansion of existing power plants has numerous environmental and economic hurdles, necessitating a careful analysis of local best options. As a result, several Distributed Generation (DG) technologies have been integrated into the power system. This paper introduces Integrated Immune Moth Flame Evolutionary Programming (IIMFEP) as a new hybrid method for planning distributed generation in distribution systems. The IIMFEP determines the optimal sizing and placement of DG Type II that supplies reactive power under load variations to mitigate power loss in a system. Utilizing the IEEE 69-Bus Radial Distribution Systems (RDS), a comparison is made between the IIMFEP method and Moth Flame Optimization (MFO), Artificial Immune System (AIS) and Evolutionary Programming (EP). The IIMFEP outperformed the other three techniques, which managed to achieve the lowest total system power loss. As the system?s real and reactive loads increase, so does the system?s overall power loss. Therefore, DGs must inject more reactive power to compensate for the power loss. The research findings�indicate that the proposed IIMFEP reduces system power losses more effectively. The proposed IIMFEP is, therefore, a viable alternative solution addressing optimal DG difficulties in RDS. ? The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
author2	57197864035
author_facet	57197864035 Abdullah A. Musirin I. Othman M.M. Rahim S.R.A. Mansor M.H. Shaaya S.A. Senthil Kumar A.V.
format	Conference paper
author	Abdullah A. Musirin I. Othman M.M. Rahim S.R.A. Mansor M.H. Shaaya S.A. Senthil Kumar A.V.
author_sort	Abdullah A.
title	Integrated Intelligent Technique for Loss Control in Distribution System via Distributed Generation Installation Under Load Variations
title_short	Integrated Intelligent Technique for Loss Control in Distribution System via Distributed Generation Installation Under Load Variations
title_full	Integrated Intelligent Technique for Loss Control in Distribution System via Distributed Generation Installation Under Load Variations
title_fullStr	Integrated Intelligent Technique for Loss Control in Distribution System via Distributed Generation Installation Under Load Variations
title_full_unstemmed	Integrated Intelligent Technique for Loss Control in Distribution System via Distributed Generation Installation Under Load Variations
title_sort	integrated intelligent technique for loss control in distribution system via distributed generation installation under load variations
publisher	Springer Science and Business Media Deutschland GmbH
publishDate	2025
_version_	1825816201986572288
score	13.244109

Integrated Intelligent Technique for Loss Control in Distribution System via Distributed Generation Installation Under Load Variations

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