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    •   BracU IR
    • School of Engineering (SoE)
    • Department of Electrical and Electronic Engineering (EEE)
    • Thesis & Report, BSc (Electrical and Electronic Engineering)
    • View Item
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    Optimized distributed generation planning for radial distribution system using particle swarm optimization algorithm

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    17321040, 16321007, 16321149, 16321063_EEE.pdf (2.314Mb)
    Date
    2020
    Publisher
    Brac University
    Author
    Faruque, Fairuj Binte
    Nazim, Md. Shahriar
    Chowdhury, Shuva
    Sowmitra, Mycheal
    Metadata
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    URI
    http://hdl.handle.net/10361/14789
    Abstract
    Electrical 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.
    Keywords
    Distributed generation (DG); Particle swarm optimization (PSO); Line loss; Radial; Voltage profile
     
    Description
    This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2020.
     
    Cataloged from PDF version of thesis.
     
    Includes bibliographical references (pages 57-58).
    Department
    Department of Electrical and Electronic Engineering, Brac University
    Collections
    • Thesis & Report, BSc (Electrical and Electronic Engineering)

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