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POWER GENERATION COORDINATION WITH CONSIDERATION OF SHORTFALL COST USING GREY WOLF OPTIMIZER NURUSH SYIFAA BINTI ANUAR

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POWER GENERATION COORDINATION WITH CONSIDERATION OF SHORTFALL

COST USING GREY WOLF OPTIMIZER

NURUSH SYIFAA BINTI ANUAR

Final Year Project Report is submitted in partial fulfilment of the requirements for the degree of

Bachelor of Engineering (Hons) Electrical Engineering

FACULTY OF ELECTRICAL ENGINEERING UNIVERSITI TEKNOLOGI MARA

MALAYSIA

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ABSTRACT

Electricity utilities are in a process of adapting their systems to the new system with the introduction of liberalization of electricity markets where it could become a well- functioning system in the industry of the country. Due to the liberalized market, competition among the participants in the industry has been introduced. This forces the industry in many countries to take a significant transformation. As the electricity generation and the economic viability varies with the demand, location and planning for the delivery of output power is crucial in order to obtain the maximum profit of hydro and thermal generation while considering the risk in the market. In this study, shortfall cost in the electricity generation is considered as the risk. Hence, Grey Wolf Optimization (GWO) method has been developed to maximize the profits of the hydro and thermal generators without and with considering the risk. This GWO algorithm is a simple method that use a few parameter, fast seeking speed and high search precision where it is more easily combined with the practical engineering problems. A test system consists of 7 hydro and 4 thermal units is tested using the proposed method and the results have shown that the maximum profit while considering the shortfall cost also can be obtained.

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ACKNOWLEDGEMENT

First of all, I wish to thank God for giving me the opportunity to embark on my Degree and for completing this challenging journey successfully. My gratitude and thanks also go to my supervisor, Assoc Prof Bibi Norasiqin Sheikh Rahimullah.

My appreciation goes to my colleagues and friends for helping me with this project.

Then, special thanks for those people who are help me on how to use the MATLAB.

Finally, this final year project report is dedicated to the loving memory of my very dear late father and mother for their belief and determination to educate me. This report is a victory from me for both of you. Alhamdulillah.

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TABLE OF CONTENTS

Page

AUTHOR'S DECLARATION ii

ABSTRACT iii ACKNOWLEDGEMENT iv

TABLE OF CONTENTS v LIST OF TABLES vii LIST OF FIGURES viii LIST OF PLATES ix LIST OF SYMBOLS x LIST OF ABBREVIATIONS xi

LIST OF NOMENCLATURE xii

CHAPTER ONE : INTRODUCTION 1

1.1 Background Study 1

1.2 Objectives 3 1.3 Problem Statement 3

1.4 Scope of Work 4 1.5 Limitations 5 1.6 Report Organization 6

CHAPTER TWO : LITERATURE REVIEW 7

2.1 Hydrothermal Power System 7 2.2 Power Plant Operation Cost 10 2.3 Economic Dispatch of Power Generation Planning in an Energy Market 11

2.4 Grey Wolf Optimizer (GWO) 15

CHAPTER THREE : METHODOLOGY 20 3.1 Problem Formulation of determining Maximum Profit 20

3.2 Problem Formulation of GWO Algorithm 22

3.3 Pseudocode of GWO 24 v

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3.4 Flowchart of solving for maximum profit in Power Generation by using

GWO 25

CHAPTER FOUR : RESULT AND DISCUSSION 27

4.1 Introduction 27

CHAPTER FIVE : CONCLUSION AND RECOMMENDATION 32

5.1 Conclusion 32 5.2 Recommendation for Future Work 33

REFERENCES 34

APPENDICES 37

Referensi

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