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Title of Thesis

Power Quality Improvement of Distribution system with Dispersed Generation using Novel Algorithem for Islanding Control and Detection Processes

Author(s)

Dr. Hasham Khan

Institute/University/Department Details
Faculty of the Electrical and Electronic Engineering / University of Engineering and Technology, Taxila
Session
2009
Subject
Engineering Electrical
Number of Pages
210
Keywords (Extracted from title, table of contents and abstract of thesis)
Feeders, Power, Technique, Distribution, Unbalanced, Quality, Micro, Processes, Feasibility, Improvement, Control, Algorithms, Generation, Dispersed, Islanding, Improvement

Abstract
Distribution engineers investigate economical and technical feasibility of new capacity expansion alternatives. Distributed generation (DG) can be used effectively to support the customer’s power quality requirements. DG is an imperative tool that can partially replace the need to erect new generating stations in order to cope with the increasing load demands.However, numerous complexities arise like parallel operation of DG within existing system, phenomena of islanding and its detection, micro grid operation, monitoring and control etc. Several techniques have been developed for the effective detection of islanding.These techniques have numerous deficiencies.First of all, a majority of these islanding detection techniques have been developed only for balanced three phase load.No single-phase load and unbalanced three phase loads have been considered. Secondly, successful transfer into autonomous micro grid operation requires islanding detection and a subsequent change in control strategy of micro grid DG units.Thirdly, this operation causes large amount of current flow out of the micro grid into the fault, resulting in severely depressed micro grid bus voltage.
In this research work, the emphasis is to improve these problems and overcome the drawbacks of existing techniques.The aims and objectives of this study are to develop a novel islanding detection technique, reliable, effective and efficient operation of DG in coordination with main utility network as well as power quality improvement for essential load. In order to improve the power quality of distribution network and to detect the islanding phenomena with DG, innovative techniques are required to implement the solution and mitigate the problems effectively. In this research study, using an analytical approach, two algorithms have been designed; a comprehensive algorithm for the implementation of distributed generation (IDG) by finding the optimal size and location of DG for power quality improvement and a new islanding detection algorithm (NIDA) for islanding detection under multiple distributed generation scenarios.
The proposed algorithms can be utilized effectively to enhance the feeder performance having randomly distributed loads.The algorithms have been designed in “C language” and are based upon the power quality improvement of distribution feeder in terms of node voltage profile enhancement, power loss reduction and islanding detection in multi-DG scenario.The newly designed algorithms outperform the conventional approaches, which encounter numerous complexities during their implementation.The designed algorithms have the capabilities to operate under uniform and non-uniform loads with low power factor for both single DG and multi-DG scenario.The suggested algorithms have been implemented on different feeders including, 11kV feeder, 12.5kV feeder and IEEE 34 bus feeder.The feeders have been simulated in “C-language” and the results have been verified. The simulation results show that the algorithms can be implemented efficiently to detect the islanding phenomena and enhance the distribution system performance in terms of node voltage profile improvement and power loss reduction.

Download Full Thesis
1,261 KB
S. No. Chapter Title of the Chapters Page Size (KB)
1 0 CONTENTS

 

 
166 KB
2

1

INTRODUCTION

1.1 Power quality
1.2 Distributed generation
1.3 Islanding Phenomena
1.4 Micro Grid Operation
1.5 Problem Statement
1.6 Scope of study
1.7 Objective

1
122 KB
3 2 POWER QUALITY

2.1 Introduction
2.2 Objectives of Power Quality
2.3 Causes of Power Quality Deformation
2.4 Long Duration Voltage Variations
2.5 Short term Voltage Variations
2.6 Power Quality Indices
2.7 Voltage Fluctuations
2.8 Frequency Variation
2.9 Voltage Imbalance
2.10 Harmonic Distortion
2.11 Flicker
2.12 Voltage Drop
2.13 Voltage Drop Criteria
2.14 Effects of Voltage Drop
2.15 Causes of Voltage Drop
2.16 Improvement Techniques
2.17 Implication of Poor Power Quality
2.18 Custom Power Solutions
2.19 Advantages of Power Conditioning
2.20 Summery

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4 3 DISTRIBUTED GENERATION

3.1 Introduction
3.2 Background
3.4 DG Technologies
3.5 DG Applications
3.6 Significance of DG in Power Quality
3.7 Integration of DG and Power Quality
3.8 Location of DG
3.9 Benefits of DG
3.10Complexities in Interconnection
3.11 Impacts of DG
3.12 Voltage Regulation by DG
3.13 Summery

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 232 KB
5 4 ISLANDING PROCESS

4.1 Introduction
4.2 Significance of Islanding Detection
4.3 Effects of Islanding Phenomena
4.4 Causes of Islanding Processes
4.5 Impacts on Power Quality
4.6 Islanding Detection Techniques
4.7 Passive Islanding Detection Techniques
4.8 Active Islanding Detection Techniques
4.9 Other Methods
4.10 Review of existing Islanding Detection Techniques
4.11 Summery

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6 5 ALGORITHMS AND SIMULATION RESULTS

5.1 Introduction
5.2 DG for Performance Enhancement of Distribution Feeder
5.3 Voltage Profile Improvement (EPI) Of Distribution Feeder
5.4 Effect of Voltage Profile Improvement on Feeder Performance
5.5 Distribution Feeder Performance Enhancement Analyses by IDG Algorithm
5.6 Case Study 1
5.7 Case study 2
5.8 Case study 3
5.9 New Islanding Detection Algorithm (NIDA)
5.10 Salient Features of the NIDA 147
5.11 Case Study 4
5.12 Case Study 5
5.13 Case Study 6
5.10 Summery

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7 6 CONCLUSION

 

172
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8 7 REFERENCES AND APPENDIX

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