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    Pragati Engineering College: Optimal Distributed Generation Allocation in Distribution System For Loss Minimization

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    Lucky Abhi
    This document is a project report that investigates optimal distributed generation allocation in distribution systems to minimize losses. It proposes using a genetic algorithm to determine the optimal sitting and sizing of distributed generation units. Simulation results on IEEE 33 bus test systems show that using an Autonomous Group Particle Swarm Optimization technique can significantly reduce active power losses and improve the voltage profile by obtaining the best placement and sizing of distributed generation units.

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    Pragati Engineering College: Optimal Distributed Generation Allocation in Distribution System For Loss Minimization

    Uploaded by

    Lucky Abhi
    48 views7 pages
    This document is a project report that investigates optimal distributed generation allocation in distribution systems to minimize losses. It proposes using a genetic algorithm to determine the optimal sitting and sizing of distributed generation units. Simulation results on IEEE 33 bus test systems show that using an Autonomous Group Particle Swarm Optimization technique can significantly reduce active power losses and improve the voltage profile by obtaining the best placement and sizing of distributed generation units.

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    This document is a project report that investigates optimal distributed generation allocation in distribution systems to minimize losses. It proposes using a genetic algorithm to determine the optimal sitting and sizing of distributed generation units. Simulation results on IEEE 33 bus test systems show that using an Autonomous Group Particle Swarm Optimization technique can significantly reduce active power losses and improve the voltage profile by obtaining the best placement and sizing of distributed generation units.

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    © All Rights Reserved
    Download as DOCX, PDF, TXT or read online from Scribd
    Download as docx, pdf, or txt
    48 views7 pages

    Pragati Engineering College: Optimal Distributed Generation Allocation in Distribution System For Loss Minimization

    Uploaded by

    Lucky Abhi
    This document is a project report that investigates optimal distributed generation allocation in distribution systems to minimize losses. It proposes using a genetic algorithm to determine the optimal sitting and sizing of distributed generation units. Simulation results on IEEE 33 bus test systems show that using an Autonomous Group Particle Swarm Optimization technique can significantly reduce active power losses and improve the voltage profile by obtaining the best placement and sizing of distributed generation units.

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    A Project Report on

    OPTIMAL DISTRIBUTED GENERATION ALLOCATION IN DISTRIBUTION


    SYSTEM FOR LOSS MINIMIZATION

    Submitted in partial fulfilment of the requirements for the award of the degree of

    BACHELOR OF TECHNOLOGY

    IN

    ELECTRICAL & ELECTRONICS ENGINEERING

    By

    B. Sai Kumar 17A31A0281


    G. Vijay Kumar 17A31A0283
    G. Sai krishna 17A31A0284
    J. V. S. Nanda 17A31A0286
    M. V. S. S. R. Krishna Kanth 17A31A0297
    R. Sai Sunandh 17A31A02A7

    Under the esteemed guidance of


    Sri. P. Sandhya, M.Tech

    Assistant Professor

    DEPARTMENT OF EEE

    DEPARTMENT OF ELECTRICAL & ELECTRONICS ENGINEERING

    PRAGATI ENGINEERING COLLEGE


    (AUTONOMOUS)
    (Approved by AICTE, Permanently Affiliated to JNTUK, KAKINADA & Accredited by NAAC with ‘A’
    Grade)

    1-378, A.D.B. Road, Surampalem, Near Peddapuram-533437


    CERTIFICATE
    DEPARTMENT OF ELECTRICAL & ELECTRONICS ENGINEERING

    This is to certify that the Project Report entitled “OPTIMAL DISTRIBUTED GENERATION
    ALLOCATION IN DISTRIBUTION SYSTEM FOR LOSS MINIMIZATION” is being
    submitted by B.Sai kumar (17A31A0281), G.Vijay kumar (17A31A0283), G.Sai Krishna
    (17A31A0284), J.V.S.Nanda (17A31A0286), M.V.S.S.R.Krishnakanth (17A31A0297), R.Sai
    Sunandh (17A31A02A7) in partial fulfillment for the award of the Degree of Bachelor of
    Technology in Electrical & Electronics Engineering of Pragati Engineering College, for the
    record of bonafide work carried out by them.

    Sri. P. Sandhya
    M. Tech

    Assistant Professor

    Dr. K. SATYANARAYANA
    M. Tech., PhD, MIE, MIEEE, MISTE, C Eng

    Professor& H.O.D – EEE


    ACKNOWLEDGEMENT
    We express our thanks to project guide Sri. P. Sandhya, Assistant Professor of
    Electrical and Electronics Engineering, who deserves a special note of thanks and
    gratitude, for having extended their fullest co-operation and guidance, without this, project
    would never have materialized.

    We express our deep sense of gratitude to Dr. K. SATYANARAYANA, Vice-


    Principal & Head of the Department of Electrical and Electronics Engineering, for
    having shown keen interest at every stage of development of our project work and for guiding
    us in every aspect.

    We wish to express our special thanks to our beloved Dr. S. SAMBHU PRASAD,
    Principal for giving guidelines and encouragement.

    We wish to express sincere gratitude to our beloved and respected Dr. P.


    KRISHNARAO, Chairman and Sri. M. V. HARANATHA BABU, Director
    (Management), and Sri. M. SATISH, Vice-President for their encouragement and
    blessing.

    We are thankful to all our faculty members of the department for their valuable
    suggestions. Our sincere thanks also extended to all the teaching and the non-teaching staff of
    Pragati Engineering College.

    B. Sai kumar (17A31A0281)


    G. Vijay kumar (17A31A0283)
    G. Sai krishna (17A31A0284)
    J. V. S. Nanda (17A31A0286)
    M. V. S. S. R. Krishna kanth (17A31A0297)
    R. Sai sunandh (17A31A02A7)
    INDEX
    CONTENTS Page No.
    Abstract 1
    CHAPTER-1 INTRODUCTION 2-6
    1.1 Project Overview 2
    CHAPTER-2 DISTRIBUTION GENERATION 7-14
    2.1 Introduction 7
    2.2 Allocation of Losses in Distribution Systems with Embedded
    11
    Generation
    CHAPTER-3 DISTRIBUTION SYSTEMS 15-28
    3.1 Introduction 15
    3.2 Primary and Secondary Distribution 17-18
    3.2.1 Primary Distribution 17
    3.2.2 Secondary Distribution 17
    3.3 Design Consideration in a Distribution System 18
    3.4 Distribution System Losses 19
    3.4.1 Factors Effecting Distribution-System Losses 19
    3.5 Methods for the Reduction of Line Losses 20
    3.6 Classification of Distribution System 23
    3.7 DC Distribution 25
    3.8 Types of Distribution System 25
    3.9 Power Distribution System 27
    CHAPTER-4 OPTIMAL DG ALLOCATION USING GENETIC 29-34
    ALOGRITHM
    4.1 Introduction 29
    4.2 Genetic Algorithm 29

    CHAPTER-5 GENETIC FORMULATION OF LOSS 35-51


    REDUCING WITH DG
    5.1 Introduction 35
    CHAPTER-6 SIMULATION RESULTS 50
    CHAPTER-7 CONCLUSION 53
    CHAPTER-8 REFERENCES 54
    List Of Figures

    Fig no Description of figure Pg. no


    2.1 A distribution network with DG.
    13
    3.1 A typical electrical power system 15
    3.2 Single line diagram of power system 16
    3.3 Radial secondary Distribution system 18
    3.4 A inter connected type feeder configuration 24
    3.5 A typical distribution system 25
    3.6 Radial distributors 26
    3.7 Ring mains 27
    4.1 Flowchart for basic ga algorithms 33
    5.1 Single line diagram of the six-bus system 37
    5.2 Classification of steady state models 41
    5.3 Characteristics of the RPLR with varying dg generated
    power 42

    5.4 Flowchart depicting the optimal dg sizing algorithm 44


    5.5 Simple ds with one loop 46
    5.6 Solution process of the processed EA method 47
    5.7 Shows the complete computational procedure of the
    49
    proposed EA and EA-OPF methods
    5.7.4 Voltage profile for different placement scenarios 50
    5.7.5 Active power losses vs number of buses 51
    5.7.6 Reactive power losses vs number of buses 51
    5.7.7 Voltage profile for different placement scenarios with
    51
    AGPSO
    5.7.8 Active power losses vs number of buses with AGPSO 52
    5.7.9 Reactive power losses vs number of buses 52
    ABSTRACT

    Loss minimization and voltage profile improvement using Autonomous Group


    Particle Swarm Optimization in a distributed power system

    Abstract— Growing concerns over environmental impacts, conditions for improvement of


    the whole distribution network, and rebate programs offered by governments have
    contributed to an increment in the number of DG units in commercial and domestic electrical
    power output. It is known that the non-optimal size and non-optimal placement of DG units
    may lead to high power losses, bad voltage profiles. Therefore, this paper introduces a
    sensitivity analysis to determine the optimal sitting and sizing of DG units. A new
    methodology AGPSO is used to reduce the active power losses and also to improve the
    voltage profile. The effectiveness of the proposed method is demonstrated through IEEE 33
    bus standard test systems. The simulation results show that AGPSO can obtain the maximum
    power loss reductions.

    Index Terms—Power Flow (CPF), Loss Sensitivity Analysis (LSA), Autonomous Groups
    Particles Swarm Optimization (AGPSO).

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