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Probabilistic load flow�based optimal placement and sizing of distributed generators

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dc.citedby2
dc.contributor.authorHossain F.A.en_US
dc.contributor.authorRokonuzzaman M.en_US
dc.contributor.authorAmin N.en_US
dc.contributor.authorZhang J.en_US
dc.contributor.authorMishu M.K.en_US
dc.contributor.authorTan W.-S.en_US
dc.contributor.authorIslam M.R.en_US
dc.contributor.authorRoy R.B.en_US
dc.contributor.authorid57353864100en_US
dc.contributor.authorid57190566039en_US
dc.contributor.authorid7102424614en_US
dc.contributor.authorid56274769100en_US
dc.contributor.authorid57192669693en_US
dc.contributor.authorid55336912400en_US
dc.contributor.authorid55765000567en_US
dc.contributor.authorid56603588300en_US
dc.date.accessioned2023-05-29T09:05:21Z
dc.date.available2023-05-29T09:05:21Z
dc.date.issued2021
dc.descriptionElectric load flow; Environmental impact; Genetic algorithms; Investments; Location; Operating costs; Probability distributions; Distributed generation; Distributed generation resources; Distributed generators; Distribution network; Electrical energy demand; Flow based; Location optimization; Optimal placement and sizings; Probabilistic load flow; Distributed power generationen_US
dc.description.abstractDistributed generation (DG) is gaining importance as electrical energy demand increases. DG is used to decrease power losses, operating costs, and improve voltage stability. Most DG resources have less environmental impact. In a particular region, the sizing and location of DG resources significantly affect the planned DG integrated distribution network (DN). The voltage profiles of the DN will change or even become excessively increased. An enormous DG active power, inserted into an improper node of the distribution network, may bring a larger current greater than the conductor�s maximum value, resulting in an overcurrent distribution network. Therefore, DG sizing and DG location optimization is required for a systematic DG operation to fully exploit distributed energy and achieve mutual energy harmony across existing distribution networks, which creates an economically viable, secure, stable, and dependable power distribution system. DG needs to access the location and capacity for rational planning. The objective function of this paper is to minimize the sum of investment cost, operation cost, and line loss cost utilizing DG access. The probabilistic power flow calculation technique based on the two-point estimation method is chosen for this paper�s load flow computation. The location and size of the DG distribution network are determined using a genetic algorithm in a MATLAB environment. For the optimum solution, the actual power load is estimated using historical data. The proposed system is based on the China distribution system, and the currency is used in Yuan. After DG access, active and reactive power losses are reduced by 53% and 26%, respectively. The line operating cost and the total annual cost are decreased by 53.7% and 12%, respectively. � 2021 by the authors. Licensee MDPI, Basel, Switzerland.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo7857
dc.identifier.doi10.3390/en14237857
dc.identifier.issue23
dc.identifier.scopus2-s2.0-85120006435
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85120006435&doi=10.3390%2fen14237857&partnerID=40&md5=a559ae7af27cd65b02a06c963a677fc3
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25867
dc.identifier.volume14
dc.publisherMDPIen_US
dc.relation.ispartofAll Open Access, Gold
dc.sourceScopus
dc.sourcetitleEnergies
dc.titleProbabilistic load flow�based optimal placement and sizing of distributed generatorsen_US
dc.typeArticleen_US
dspace.entity.typePublication
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