SIMULTANEOUS ALLOCATION OF MULTIPLE DISTRIBUTED GENERATION AND CAPACITORS IN RADIAL NETWORK USING GENETIC-SALP SWARM ALGORITHM

Purpose. In recent years, the problem of allocation of distributed generation and capacitors banks has received special attention from many utilities and researchers. The present paper deals with single and simultaneous placement of dispersed generation and capacitors banks in radial distribution ne...

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Autores principales:	Chabane Djabali, Tarek Bouktir
Formato:	article
Lenguaje:	EN RU UK
Publicado:	National Technical University "Kharkiv Polytechnic Institute" 2020
Materias:	genetic algorithm salp swarm algorithm real power losses distributed generation capacitors Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/2d6a5c68ab1342cebe3119d130b5d854
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spelling	oai:doaj.org-article:2d6a5c68ab1342cebe3119d130b5d8542021-12-02T16:19:10ZSIMULTANEOUS ALLOCATION OF MULTIPLE DISTRIBUTED GENERATION AND CAPACITORS IN RADIAL NETWORK USING GENETIC-SALP SWARM ALGORITHM10.20998/2074-272X.2020.4.082074-272X2309-3404https://doaj.org/article/2d6a5c68ab1342cebe3119d130b5d8542020-08-01T00:00:00Zhttp://eie.khpi.edu.ua/article/view/2074-272X.2020.4.08/210585https://doaj.org/toc/2074-272Xhttps://doaj.org/toc/2309-3404Purpose. In recent years, the problem of allocation of distributed generation and capacitors banks has received special attention from many utilities and researchers. The present paper deals with single and simultaneous placement of dispersed generation and capacitors banks in radial distribution network with different load levels: light, medium and peak using genetic-salp swarm algorithm. The developed genetic-salp swarm algorithm (GA-SSA) hybrid optimization takes the system input variables of radial distribution network to find the optimal solutions to maximize the benefits of their installation with minimum cost to minimize the active and reactive power losses and improve the voltage profile. The validation of the proposed hybrid genetic-salp swarm algorithm was carried out on IEEE 34-bus test systems and real Algerian distributed network of Djanet (far south of Algeria) with 112-bus. The numerical results endorse the ability of the proposed algorithm to achieve a better results with higher accuracy compared to the result obtained by salp swarm algorithm, genetic algorithm, particle swarm optimization and the hybrid particle swarm optimization algorithms. Chabane DjabaliTarek BouktirNational Technical University "Kharkiv Polytechnic Institute"articlegenetic algorithmsalp swarm algorithmreal power lossesdistributed generationcapacitorsElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENRUUKElectrical engineering & Electromechanics, Iss 4, Pp 59-66 (2020)
institution	DOAJ
collection	DOAJ
language	EN RU UK
topic	genetic algorithm salp swarm algorithm real power losses distributed generation capacitors Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	genetic algorithm salp swarm algorithm real power losses distributed generation capacitors Electrical engineering. Electronics. Nuclear engineering TK1-9971 Chabane Djabali Tarek Bouktir SIMULTANEOUS ALLOCATION OF MULTIPLE DISTRIBUTED GENERATION AND CAPACITORS IN RADIAL NETWORK USING GENETIC-SALP SWARM ALGORITHM
description	Purpose. In recent years, the problem of allocation of distributed generation and capacitors banks has received special attention from many utilities and researchers. The present paper deals with single and simultaneous placement of dispersed generation and capacitors banks in radial distribution network with different load levels: light, medium and peak using genetic-salp swarm algorithm. The developed genetic-salp swarm algorithm (GA-SSA) hybrid optimization takes the system input variables of radial distribution network to find the optimal solutions to maximize the benefits of their installation with minimum cost to minimize the active and reactive power losses and improve the voltage profile. The validation of the proposed hybrid genetic-salp swarm algorithm was carried out on IEEE 34-bus test systems and real Algerian distributed network of Djanet (far south of Algeria) with 112-bus. The numerical results endorse the ability of the proposed algorithm to achieve a better results with higher accuracy compared to the result obtained by salp swarm algorithm, genetic algorithm, particle swarm optimization and the hybrid particle swarm optimization algorithms.
format	article
author	Chabane Djabali Tarek Bouktir
author_facet	Chabane Djabali Tarek Bouktir
author_sort	Chabane Djabali
title	SIMULTANEOUS ALLOCATION OF MULTIPLE DISTRIBUTED GENERATION AND CAPACITORS IN RADIAL NETWORK USING GENETIC-SALP SWARM ALGORITHM
title_short	SIMULTANEOUS ALLOCATION OF MULTIPLE DISTRIBUTED GENERATION AND CAPACITORS IN RADIAL NETWORK USING GENETIC-SALP SWARM ALGORITHM
title_full	SIMULTANEOUS ALLOCATION OF MULTIPLE DISTRIBUTED GENERATION AND CAPACITORS IN RADIAL NETWORK USING GENETIC-SALP SWARM ALGORITHM
title_fullStr	SIMULTANEOUS ALLOCATION OF MULTIPLE DISTRIBUTED GENERATION AND CAPACITORS IN RADIAL NETWORK USING GENETIC-SALP SWARM ALGORITHM
title_full_unstemmed	SIMULTANEOUS ALLOCATION OF MULTIPLE DISTRIBUTED GENERATION AND CAPACITORS IN RADIAL NETWORK USING GENETIC-SALP SWARM ALGORITHM
title_sort	simultaneous allocation of multiple distributed generation and capacitors in radial network using genetic-salp swarm algorithm
publisher	National Technical University "Kharkiv Polytechnic Institute"
publishDate	2020
url	https://doaj.org/article/2d6a5c68ab1342cebe3119d130b5d854
work_keys_str_mv	AT chabanedjabali simultaneousallocationofmultipledistributedgenerationandcapacitorsinradialnetworkusinggeneticsalpswarmalgorithm AT tarekbouktir simultaneousallocationofmultipledistributedgenerationandcapacitorsinradialnetworkusinggeneticsalpswarmalgorithm
_version_	1718384160433766400

SIMULTANEOUS ALLOCATION OF MULTIPLE DISTRIBUTED GENERATION AND CAPACITORS IN RADIAL NETWORK USING GENETIC-SALP SWARM ALGORITHM

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