Staff View: Meta-heuristic matrix moth-flame algorithm for optimal reconfiguration of distribution networks and placement of solar and wind renewable sources considering reliability

Meta-heuristic matrix moth-flame algorithm for optimal reconfiguration of distribution networks and placement of solar and wind renewable sources considering reliability

This paper presents optimal multi-criteria reconfiguration of radial distribution systems with solar and wind renewable energy sources using the weight factor method while considering reliability. Minimizing the power loss, improving the voltage profile and stability of the system, as well as, enhan...

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Main Authors:	Jafar Nowdeh, Ali, Babanezhad, Manoochehr, Arabi Nowdeh, Saber, Naderipour, Amirreza, Kamyab, Hesam, Abdul Malek, Zulkurnain, Ramachandaramurthy, Vigna K.
Format:	Article
Published:	Elsevier B.V. 2020
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/93288/ http://dx.doi.org/10.1016/j.eti.2020.101118
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id	my.utm.93288
record_format	eprints
spelling	my.utm.932882021-11-19T03:31:26Z http://eprints.utm.my/id/eprint/93288/ Meta-heuristic matrix moth-flame algorithm for optimal reconfiguration of distribution networks and placement of solar and wind renewable sources considering reliability Jafar Nowdeh, Ali Babanezhad, Manoochehr Arabi Nowdeh, Saber Naderipour, Amirreza Kamyab, Hesam Abdul Malek, Zulkurnain Ramachandaramurthy, Vigna K. TK Electrical engineering. Electronics Nuclear engineering This paper presents optimal multi-criteria reconfiguration of radial distribution systems with solar and wind renewable energy sources using the weight factor method while considering reliability. Minimizing the power loss, improving the voltage profile and stability of the system, as well as, enhancing the reliability are the main objective functions of the problem to address. The reliability index is assumed as the energy not-supplied (ENS) of the end-users. Optimized variables of the problem include opened lines of the system in the reconfiguration process to maintain the radial structure of the network along with finding the optimal place and size of photovoltaic (PV) systems and wind turbine (WT) units in the distribution system, which are determined based on a new meta-heuristic called moth–flame optimization (MFO) algorithm. Simulations for different scenarios are performed utilizing reconfiguration and placement of renewable sources on an IEEE 33-bus radial distribution system. Obtained results in solving the problem indicate the superiority of the presented method compared with some methods in the literature. Furthermore, the results showed that the combined method as the reconfiguration and WT placement simultaneously bring the best performance for the network with lower power loss, improved voltage profile and stability, and enhanced reliability. Moreover, the results showed that considering reliability helps significantly reduce the energy not-supplied of the customers and supply their maximum load demand. Elsevier B.V. 2020-11 Article PeerReviewed Jafar Nowdeh, Ali and Babanezhad, Manoochehr and Arabi Nowdeh, Saber and Naderipour, Amirreza and Kamyab, Hesam and Abdul Malek, Zulkurnain and Ramachandaramurthy, Vigna K. (2020) Meta-heuristic matrix moth-flame algorithm for optimal reconfiguration of distribution networks and placement of solar and wind renewable sources considering reliability. Environmental Technology and Innovation, 20 . ISSN 2352-1864 http://dx.doi.org/10.1016/j.eti.2020.101118 DOI:10.1016/j.eti.2020.101118
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Jafar Nowdeh, Ali Babanezhad, Manoochehr Arabi Nowdeh, Saber Naderipour, Amirreza Kamyab, Hesam Abdul Malek, Zulkurnain Ramachandaramurthy, Vigna K. Meta-heuristic matrix moth-flame algorithm for optimal reconfiguration of distribution networks and placement of solar and wind renewable sources considering reliability
description	This paper presents optimal multi-criteria reconfiguration of radial distribution systems with solar and wind renewable energy sources using the weight factor method while considering reliability. Minimizing the power loss, improving the voltage profile and stability of the system, as well as, enhancing the reliability are the main objective functions of the problem to address. The reliability index is assumed as the energy not-supplied (ENS) of the end-users. Optimized variables of the problem include opened lines of the system in the reconfiguration process to maintain the radial structure of the network along with finding the optimal place and size of photovoltaic (PV) systems and wind turbine (WT) units in the distribution system, which are determined based on a new meta-heuristic called moth–flame optimization (MFO) algorithm. Simulations for different scenarios are performed utilizing reconfiguration and placement of renewable sources on an IEEE 33-bus radial distribution system. Obtained results in solving the problem indicate the superiority of the presented method compared with some methods in the literature. Furthermore, the results showed that the combined method as the reconfiguration and WT placement simultaneously bring the best performance for the network with lower power loss, improved voltage profile and stability, and enhanced reliability. Moreover, the results showed that considering reliability helps significantly reduce the energy not-supplied of the customers and supply their maximum load demand.
format	Article
author	Jafar Nowdeh, Ali Babanezhad, Manoochehr Arabi Nowdeh, Saber Naderipour, Amirreza Kamyab, Hesam Abdul Malek, Zulkurnain Ramachandaramurthy, Vigna K.
author_facet	Jafar Nowdeh, Ali Babanezhad, Manoochehr Arabi Nowdeh, Saber Naderipour, Amirreza Kamyab, Hesam Abdul Malek, Zulkurnain Ramachandaramurthy, Vigna K.
author_sort	Jafar Nowdeh, Ali
title	Meta-heuristic matrix moth-flame algorithm for optimal reconfiguration of distribution networks and placement of solar and wind renewable sources considering reliability
title_short	Meta-heuristic matrix moth-flame algorithm for optimal reconfiguration of distribution networks and placement of solar and wind renewable sources considering reliability
title_full	Meta-heuristic matrix moth-flame algorithm for optimal reconfiguration of distribution networks and placement of solar and wind renewable sources considering reliability
title_fullStr	Meta-heuristic matrix moth-flame algorithm for optimal reconfiguration of distribution networks and placement of solar and wind renewable sources considering reliability
title_full_unstemmed	Meta-heuristic matrix moth-flame algorithm for optimal reconfiguration of distribution networks and placement of solar and wind renewable sources considering reliability
title_sort	meta-heuristic matrix moth-flame algorithm for optimal reconfiguration of distribution networks and placement of solar and wind renewable sources considering reliability
publisher	Elsevier B.V.
publishDate	2020
url	http://eprints.utm.my/id/eprint/93288/ http://dx.doi.org/10.1016/j.eti.2020.101118
_version_	1718926053638930432
score	13.211869

Meta-heuristic matrix moth-flame algorithm for optimal reconfiguration of distribution networks and placement of solar and wind renewable sources considering reliability

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