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dc.contributor.advisorAzad, A.K.M. Abdul Malek
dc.contributor.authorFaruque, Fairuj Binte
dc.contributor.authorNazim, Md. Shahriar
dc.contributor.authorChowdhury, Shuva
dc.contributor.authorSowmitra, Mycheal
dc.date.accessioned2021-07-13T10:29:22Z
dc.date.available2021-07-13T10:29:22Z
dc.date.copyright2020
dc.date.issued2020
dc.identifier.otherID: 17321040
dc.identifier.otherID: 16321007
dc.identifier.otherID: 16321149
dc.identifier.otherID: 16321063
dc.identifier.urihttp://hdl.handle.net/10361/14789
dc.descriptionThis thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2020.en_US
dc.descriptionCataloged from PDF version of thesis.
dc.descriptionIncludes bibliographical references (pages 57-58).
dc.description.abstractElectrical generation and storage by a range of small grid-connected or distribution systemconnected devices known as distributed energy resources is distributed generation. This paper presents the determination of the optimal position of a Distributed Generation (DG) Unit. There has been analysis of the radial distributed network. The placement of distributed generation and the size of the distribution generation is a prime factor here. The key motive of this paper is to minimize line losses and improve voltage profile. We have followed a robust technique called particle swarm optimization to achieve this objective. The application is illustrated on a 30 bus system of 132KV line Chittagong, Bangladesh power Grid system using Newton Raphson power flow method. Results presents the maximum reduction of real power loss in percentage and optimal location of Distributed Generation.en_US
dc.description.statementofresponsibilityFairuj Binte Faruque
dc.description.statementofresponsibilityMd. Shahriar Nazim
dc.description.statementofresponsibilityShuva Chowdhury
dc.description.statementofresponsibilityMycheal Sowmitra
dc.format.extent74 Pages
dc.language.isoen_USen_US
dc.publisherBrac Universityen_US
dc.rightsBrac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subjectDistributed generation (DG)en_US
dc.subjectParticle swarm optimization (PSO)en_US
dc.subjectLine lossen_US
dc.subjectRadialen_US
dc.subjectVoltage profileen_US
dc.titleOptimized distributed generation planning for radial distribution system using particle swarm optimization algorithmen_US
dc.typeThesisen_US
dc.contributor.departmentDepartment of Electrical and Electronic Engineering, Brac University
dc.description.degreeB. Electrical and Electronic Engineering


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