Improving Distribution Networks’ Consistency by Optimal Distribution System Reconfiguration and Distributed Generations

This paper presents an Enhanced Marine Predators Algorithm (EMPA) for simultaneous optimal distribution system reconfigurations (DSRs) and distributed generations (DGs) addition. The proposed EMPA recognizes the changes opportunity in environmental and climatic conditions. The EMPA handles a multi-o...

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Autores principales:	Abdullah M. Shaheen, Ragab A. El-Sehiemy, Salah Kamel, Ehab E. Elattar, Abdallah M. Elsayed
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Marine predators optimization reconfiguration distributed Generation power losses voltage stability Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/43af5db86c0e4a4c92db73e33f2cfc71
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id	oai:doaj.org-article:43af5db86c0e4a4c92db73e33f2cfc71
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spelling	oai:doaj.org-article:43af5db86c0e4a4c92db73e33f2cfc712021-11-23T00:01:00ZImproving Distribution Networks’ Consistency by Optimal Distribution System Reconfiguration and Distributed Generations2169-353610.1109/ACCESS.2021.3076670https://doaj.org/article/43af5db86c0e4a4c92db73e33f2cfc712021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9418992/https://doaj.org/toc/2169-3536This paper presents an Enhanced Marine Predators Algorithm (EMPA) for simultaneous optimal distribution system reconfigurations (DSRs) and distributed generations (DGs) addition. The proposed EMPA recognizes the changes opportunity in environmental and climatic conditions. The EMPA handles a multi-objective model to minimize the power losses and enhance the voltage stability index (VSI) at different loading levels. The proposed EMPA is performed on IEEE 33-bus and large-scale 137-bus distribution systems (DSs) where three distinct loading conditions are beheld through light, nominal and heavy levels. For the 33-bus DS, the proposed EMPA successfully reduces the cumulative losses by 72.4% compared to 70.36% for MPA for the three-loading levels simultaneously. As a result, significant voltage improvement is achieved for heavy, nominal and light loadings to be 95.05, 97, 98.3%, respectively. For the 137-bus DS, it successfully minimizes the losses of 81.16% under small standard deviation 4.76%. Also, the 83-bus test system is considered for fair comparative between the proposed and previous techniques. The simulation outputs revealed significant improvements in the standard MPA and demonstrated the superiority and effectiveness of the proposed EMPA compared to other reported results by recent algorithms for DSRs associated with DGs integration.Abdullah M. ShaheenRagab A. El-SehiemySalah KamelEhab E. ElattarAbdallah M. ElsayedIEEEarticleMarine predators optimizationreconfigurationdistributed Generationpower lossesvoltage stabilityElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 67186-67200 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Marine predators optimization reconfiguration distributed Generation power losses voltage stability Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Marine predators optimization reconfiguration distributed Generation power losses voltage stability Electrical engineering. Electronics. Nuclear engineering TK1-9971 Abdullah M. Shaheen Ragab A. El-Sehiemy Salah Kamel Ehab E. Elattar Abdallah M. Elsayed Improving Distribution Networks’ Consistency by Optimal Distribution System Reconfiguration and Distributed Generations
description	This paper presents an Enhanced Marine Predators Algorithm (EMPA) for simultaneous optimal distribution system reconfigurations (DSRs) and distributed generations (DGs) addition. The proposed EMPA recognizes the changes opportunity in environmental and climatic conditions. The EMPA handles a multi-objective model to minimize the power losses and enhance the voltage stability index (VSI) at different loading levels. The proposed EMPA is performed on IEEE 33-bus and large-scale 137-bus distribution systems (DSs) where three distinct loading conditions are beheld through light, nominal and heavy levels. For the 33-bus DS, the proposed EMPA successfully reduces the cumulative losses by 72.4% compared to 70.36% for MPA for the three-loading levels simultaneously. As a result, significant voltage improvement is achieved for heavy, nominal and light loadings to be 95.05, 97, 98.3%, respectively. For the 137-bus DS, it successfully minimizes the losses of 81.16% under small standard deviation 4.76%. Also, the 83-bus test system is considered for fair comparative between the proposed and previous techniques. The simulation outputs revealed significant improvements in the standard MPA and demonstrated the superiority and effectiveness of the proposed EMPA compared to other reported results by recent algorithms for DSRs associated with DGs integration.
format	article
author	Abdullah M. Shaheen Ragab A. El-Sehiemy Salah Kamel Ehab E. Elattar Abdallah M. Elsayed
author_facet	Abdullah M. Shaheen Ragab A. El-Sehiemy Salah Kamel Ehab E. Elattar Abdallah M. Elsayed
author_sort	Abdullah M. Shaheen
title	Improving Distribution Networks’ Consistency by Optimal Distribution System Reconfiguration and Distributed Generations
title_short	Improving Distribution Networks’ Consistency by Optimal Distribution System Reconfiguration and Distributed Generations
title_full	Improving Distribution Networks’ Consistency by Optimal Distribution System Reconfiguration and Distributed Generations
title_fullStr	Improving Distribution Networks’ Consistency by Optimal Distribution System Reconfiguration and Distributed Generations
title_full_unstemmed	Improving Distribution Networks’ Consistency by Optimal Distribution System Reconfiguration and Distributed Generations
title_sort	improving distribution networks’ consistency by optimal distribution system reconfiguration and distributed generations
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/43af5db86c0e4a4c92db73e33f2cfc71
work_keys_str_mv	AT abdullahmshaheen improvingdistributionnetworksx2019consistencybyoptimaldistributionsystemreconfigurationanddistributedgenerations AT ragabaelsehiemy improvingdistributionnetworksx2019consistencybyoptimaldistributionsystemreconfigurationanddistributedgenerations AT salahkamel improvingdistributionnetworksx2019consistencybyoptimaldistributionsystemreconfigurationanddistributedgenerations AT ehabeelattar improvingdistributionnetworksx2019consistencybyoptimaldistributionsystemreconfigurationanddistributedgenerations AT abdallahmelsayed improvingdistributionnetworksx2019consistencybyoptimaldistributionsystemreconfigurationanddistributedgenerations
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Improving Distribution Networks&#x2019; Consistency by Optimal Distribution System Reconfiguration and Distributed Generations

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