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Optimal coordinated voltage control in active distribution networks using backtracking search algorithm

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dc.citedby5
dc.contributor.authorHashim T.J.T.en_US
dc.contributor.authorMohamed A.en_US
dc.contributor.authorid55241766100en_US
dc.contributor.authorid57195440511en_US
dc.date.accessioned2023-05-29T06:37:47Z
dc.date.available2023-05-29T06:37:47Z
dc.date.issued2017
dc.descriptioncomparative effectiveness; data analysis software; algorithm; computer simulation; electricity; equipment design; power supply; Algorithms; Computer Simulation; Electric Power Supplies; Electricity; Equipment Designen_US
dc.description.abstractThe growing interest in distributed generation (DG) in recent years has led to a number of generators connected to a distribution system. The integration of DGs in a distribution system has resulted in a network known as active distribution network due to the existence of bidirectional power flow in the system. Voltage rise issue is one of the predominantly important technical issues to be addressed when DGs exist in an active distribution network. This paper presents the application of the backtracking search algorithm (BSA), which is relatively new optimisation technique to determine the optimal settings of coordinated voltage control in a distribution system. The coordinated voltage control considers power factor, on-load tap-changer and generation curtailment control to manage voltage rise issue. A multiobjective function is formulated to minimise total losses and voltage deviation in a distribution system. The proposed BSA is compared with that of particle swarm optimisation (PSO) so as to evaluate its effectiveness in determining the optimal settings of power factor, tap-changer and percentage active power generation to be curtailed. The load flow algorithm from MATPOWER is integrated in the MATLAB environment to solve the multi-objective optimisation problem. Both the BSA and PSO optimisation techniques have been tested on a radial 13-bus distribution system and the results show that the BSA performs better than PSO by providing better fitness value and convergence rate. � 2017 Tengku Hashim, Mohamed. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNoe0177507
dc.identifier.doi10.1371/journal.pone.0177507
dc.identifier.issue10
dc.identifier.scopus2-s2.0-85030687246
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85030687246&doi=10.1371%2fjournal.pone.0177507&partnerID=40&md5=c9f2723769e2f23ac671a103aa09d0a0
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23105
dc.identifier.volume12
dc.publisherPublic Library of Scienceen_US
dc.relation.ispartofAll Open Access, Gold, Green
dc.sourceScopus
dc.sourcetitlePLoS ONE
dc.titleOptimal coordinated voltage control in active distribution networks using backtracking search algorithmen_US
dc.typeArticleen_US
dspace.entity.typePublication
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