zuhaila - universiti teknologi mara

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Page 1: ZUHAILA - Universiti Teknologi MARA

UNIVERSITI TEKNOLOGI MARA

NETWORK RECONFIGURATION UNDER NORMAL AND FAULT CONDITION WITH THE PRESENCE OF DISTRIBUTED GENERATION IN

A DISTRIBUTION SYSTEM‘

ZUHAILA MAT YASIN

Thesis submitted in fillfilment of the requirements for the degree of

Master of Science

Faculty of Electrical Engineering

February 2008

Page 2: ZUHAILA - Universiti Teknologi MARA

Candidate’s Declaration

I declare that the work in this thesis was carried out in accordance with the regulations

of Universiti Teknologi MARA. It is original and is the result of my own work, unless

otherwise indicated or acknowledged as referenced work. This thesis has not been

submitted to any other academic institution or non-academic institution for any other

degree or qualification.

In the event that my thesis be found to violate the conditions mentioned above. I

voluntarily waive the right of conferment of my degree and degree to be subjected to the

disciplinary rules and regulations of Universiti Teknologi MARA.

Name of Candidate : Zuhaila binti Mat Yasin

Candidate’s ID No. : 2004314696

Programme : EE780

Faculty : Electrical Engineering

Thesis Title : Network Reconfiguration under Normal and Fault

Condition with the Presence of Distributed Generation in a

Distribution System

Signature of Candidate : ....... 4‘» .......... Date : 22 February 2008

Page 3: ZUHAILA - Universiti Teknologi MARA

ABSTRACT

This thesis presents the implementation of network reconfiguration in radial distribution

system with the presence of distributed generation to improve the distribution system

performance in terms of loss minimisation and voltage profile improvement. The

network reconfiguration is performed by altering the topological structure of distribution

feeders. During normal operating condition, networks are reconfigured to reduce the

system real power losses. The optimal sectionalising - tie switch pairs were determined

by the TOPO application available in the power system simulation programme for

planning, design and analysis of distribution system (PSS/Adept). This application

determines optimal sectionalizing - tie switch pairs based on minimum losses

configuration and at the same time, all nodes are assured for the supply. The

introduction of distributed generation into the distribution system can significantly

impact the distribution system depending on the system operating condition, distributed

generation characteristic, location and sizing. Therefore, a proper placement plays a very

important role. In this thesis, the suitable location for distributed generator was pre­

determined using the previously developed sensitivity indices derived from voltage

stability improvement with respect to changes in injected active and reactive power at a

bus. The optimal capacity sizing of the distributed generation was pre-determined using

the Evolutionary Programming (EP) optimisation technique. Various locations and sizes

of distributed generation were tested in order to realize the effect of location and sizing

of distributed generation in terms of loss minimisation and voltage improvement during

network reconfiguration. In order to study the effect of location and sizing of distributed

generation to the power losses and voltage profile during network reconfiguration for

service restoration, a three phase fault is applied at an identified location. The network is

reconfigured after the fault is isolated. The study was implemented on the IEEE 69-bus

test system. The studies also compare the network performance in terms of loss

minimization and voltage profile improvement achieved by optimal network

reconfiguration when compensating capacitor present in the system.

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Page 4: ZUHAILA - Universiti Teknologi MARA

TABLE OF CONTENTS

Abstract

Acknowledgements

Table of Contents

List of Tables

List of Figures

Nomenclature

CHAPTER 1: INTRODUCTION

1.1

1.2

1.3

1.4

1.5

1.6

1.7

Introduction

Problem Statement

Objectives

Scope of Study

Contributions of Research

Organisation of Thesis

Conclusion

CHAPTER 2: LITERATURE REVIEW

2.1

2.2

2.3

2.4

Introduction

Distributed Generation (DG)

2.2.1 Distributed Generation (DG) Technologies

2.2.2 Impact of Distributed Generation Implementation

2.2.3 Optimal Locations and Sizing of Distributed Generation

Network Reconfiguration

2.3.1 Network Reconfiguration for Loss Minimisation

2.3.2 Network Reconfiguration for Service Restoration

Location and Sizing of Compensating Capacitor

iv

ii

iii

vii

viii

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Page 5: ZUHAILA - Universiti Teknologi MARA

CHAPTER 1

INTRODUCTION

1.1 Introduction

The increase in demand has posed a challenging task to power system engineers in

maintaining a reliable and secure system economically. Limited area and slow

progress in network expansion has also caused the formation of areas with high load

densities. During the peak load, the load current has drawn from the sources

increases and this may lead to an increase in voltage drop and system losses. In

addition, rural electrification networks are experiencing poor network performance in

terms of large voltage drop and high distribution losses along the lines. Distribution

utilities are trying very hard to strengthen and expand their networks with limited

source from the grid and also capital. With this regards, changes in economic and

commercial environment of power system design and operation have necessitated the

need to consider active distribution network by incorporating small sources [1], [2].

There are several operational schemes in power distribution systems to improve the

performance of a system assurance of supply. One of these operational schemes is

network reconfiguration, which is defined as altering the topological structures of

distribution feeders by changing the open/closed states of a sectionalising and tie-

lines switches. During normal operating condition, networks are reconfigured to

reduce the system real power losses and to relieve overloads in the network (load

balancing). Another configuration management operation involves the restoration of

service to as many customers as possible during a restorative state following a fault

[3].