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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Vydané v:	Environmental technology & innovation Ročník 20; s. 101118
Hlavní autori:	Jafar-Nowdeh, Ali, Babanezhad, Manoochehr, Arabi-Nowdeh, Saber, Naderipour, Amirreza, Kamyab, Hesam, Abdul-Malek, Zulkurnain, Ramachandaramurthy, Vigna K.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.11.2020
Predmet:	algorithms electric potential difference environmental technology Moth–flame optimization algorithm Radial distribution system Reliability Renewable energy sources Voltage profile and stability wind turbines Voltage profile and stability Renewable energy sources Radial distribution system Reliability Moth–flame optimization algorithm
ISSN:	2352-1864, 2352-1864
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Abstract	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. •Optimal multi-criteria reconfiguration of the radial distribution system.•Energy loss minimization, stability improvement and reliability enhancement.•Different scenarios are performed utilizing reconfiguration and placement of renewable sources.
AbstractList	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. 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. •Optimal multi-criteria reconfiguration of the radial distribution system.•Energy loss minimization, stability improvement and reliability enhancement.•Different scenarios are performed utilizing reconfiguration and placement of renewable sources.
ArticleNumber	101118
Author	Jafar-Nowdeh, Ali Babanezhad, Manoochehr Abdul-Malek, Zulkurnain Ramachandaramurthy, Vigna K. Naderipour, Amirreza Kamyab, Hesam Arabi-Nowdeh, Saber
Author_xml	– sequence: 1 givenname: Ali surname: Jafar-Nowdeh fullname: Jafar-Nowdeh, Ali organization: Department of Electrical Engineering, Gorgan Azad University, Gorgan, Iran – sequence: 2 givenname: Manoochehr surname: Babanezhad fullname: Babanezhad, Manoochehr organization: Department of Statistics, Faculty of Sciences, Golestan University, Gorgan, Golestan, Iran – sequence: 3 givenname: Saber surname: Arabi-Nowdeh fullname: Arabi-Nowdeh, Saber organization: Golestan Technical and Vocational Training Center, Gorgan, Iran – sequence: 4 givenname: Amirreza surname: Naderipour fullname: Naderipour, Amirreza email: amirrezanaderipour@duytan.edu.vn organization: Institute of Research and Development, Duy Tan University, Da Nang 550000, Viet Nam – sequence: 5 givenname: Hesam surname: Kamyab fullname: Kamyab, Hesam organization: Engineering Department, Razak Faculty of Technology and Informatics, Universiti Teknologi Malaysia, Jalan Sultan Yahya Petra, 54100, Kuala Lumpur, Malaysia – sequence: 6 givenname: Zulkurnain surname: Abdul-Malek fullname: Abdul-Malek, Zulkurnain organization: Institute of High Voltage & High Current, School of Electrical Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, Johor Bahru, 81310, Malaysia – sequence: 7 givenname: Vigna K. surname: Ramachandaramurthy fullname: Ramachandaramurthy, Vigna K. organization: Institute of Power Engineering, Department of Electrical Power Engineering, Universiti Tenaga Nasional, Jalan Ikram-Uniten, Kajang 43000, Malaysia
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Snippet	This paper presents optimal multi-criteria reconfiguration of radial distribution systems with solar and wind renewable energy sources using the weight factor...
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SubjectTerms	algorithms electric potential difference environmental technology Moth–flame optimization algorithm Radial distribution system Reliability Renewable energy sources Voltage profile and stability wind turbines
Title	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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