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研究生: 盧陸利
LULY - SUSILO
論文名稱: Programmatic Coordinating Protection Devices using Optimization Technique for System with DG Penetration
Programmatic Coordinating Protection Devices using Optimization Technique for System with DG Penetration
指導教授: 辜志承
Jyh-Cherng Gu
口試委員: 吳啟瑞
Chi-Jui Wu
黃培華
none
吳有基
none
學位類別: 碩士
Master
系所名稱: 電資學院 - 電機工程系
Department of Electrical Engineering
論文出版年: 2010
畢業學年度: 98
語文別: 英文
論文頁數: 105
中文關鍵詞: distributed generationPSOlinear programmingprotection coordination
外文關鍵詞: protection coordination, linear programming, PSO, distributed generation
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  • Development of central protection unit for smart-grid protection system needs fast and accurate protection coordination. This thesis presents programmatic coordinating protection devices using optimization technique both for radial type and ring type of distribution systems. Traditionally, the relay engineer used to spend much time on calculation and trial-error the time-current graphics in order to coordinate the overcurrent relays. Many information and lots of calculations had to be done, during the process lots of setting had to be changed; changes in the settings of one relay could change others relays setting. Nowadays, the relays should respond to the changing system conditions such as new distributed generation (DG) connection to the main grid. Traditional protection relay coordination is hard to respond to this condition particularly for large network power distribution systems. Optimization technique can help to solve this coordination issue.
    To reach an optimal coordination, linear programming (LP) technique and a metaheuristic algorithm called particle swarm optimizer (PSO) algorithms are introduced and implemented. Linear programming with simplex method is applied to initialize the setting parameter of overcurrent relay. PSO is applied to minimize the operating times of the relay. The objective function is to find the minimum total of operating time primary relays. The additional effect of different types of distributed generation such as synchronous DG and induction DG on fault current is also discussed; various schemes of operation mode are also covered. To test the proposed method, program based on Borland C++ 2007 and MATLAB on simple distribution network is introduced. Ultimately, the parameter settings of protection devices are generated and satisfy the constraint to reach the optimal coordination.


    Development of central protection unit for smart-grid protection system needs fast and accurate protection coordination. This thesis presents programmatic coordinating protection devices using optimization technique both for radial type and ring type of distribution systems. Traditionally, the relay engineer used to spend much time on calculation and trial-error the time-current graphics in order to coordinate the overcurrent relays. Many information and lots of calculations had to be done, during the process lots of setting had to be changed; changes in the settings of one relay could change others relays setting. Nowadays, the relays should respond to the changing system conditions such as new distributed generation (DG) connection to the main grid. Traditional protection relay coordination is hard to respond to this condition particularly for large network power distribution systems. Optimization technique can help to solve this coordination issue.
    To reach an optimal coordination, linear programming (LP) technique and a metaheuristic algorithm called particle swarm optimizer (PSO) algorithms are introduced and implemented. Linear programming with simplex method is applied to initialize the setting parameter of overcurrent relay. PSO is applied to minimize the operating times of the relay. The objective function is to find the minimum total of operating time primary relays. The additional effect of different types of distributed generation such as synchronous DG and induction DG on fault current is also discussed; various schemes of operation mode are also covered. To test the proposed method, program based on Borland C++ 2007 and MATLAB on simple distribution network is introduced. Ultimately, the parameter settings of protection devices are generated and satisfy the constraint to reach the optimal coordination.

    ABSTRACT i ACKNOWLEDGEMENTS ii TABLE OF CONTENTS iii LIST OF FIGURES v LIST OF TABLES vii CHAPTER I Introduction 1 I.1 Scope of work 1 I.2 Related research 3 I.3 Motivation 5 I.4 Thesis objective 5 I.5 Thesis organization5 CHAPTER II Protection Issues of Distributed Generation Penetration 7 II.1 Introduction 7 II.2 Impact of Distributed Generation to protection system 7 II.2.1 Direction of power flow during normal or fault condition8 II.2.2 The loss of sensitivity for grounded DG interconnection 9 II.2.3 Effects on relay application and settings 9 II.3 Safety analysis for microgrid 13 II.4 Voltage regulation impact on distribution system with DG interconnected 14 II.5 Grid separation and islanded operation issues 14 CHAPTER III Evolutionary of Overcurrent Protection Coordination19 III.1 Introduction 19 III.2 Application of Linear Graph theory in protection coordination 20 III.2.1 Bus incidence matrix 21 III.2.2 Bus augmented incidence matrix 22 III.3 DG contribution to fault analysis27 III.3.1 Synchronous generators directly coupled to the grid 27 III.3.1.1 Synchronous generator for short-circuit studies 27 III.3.2 Induction generators directly coupled to the grid 30 III.3.2.1 Squirrel cage induction generator 31 III.3.2.2 Wound rotor induction generator 31 III.3.2.3 Induction generator for short-circuit studies31 III.3.3 Inverter based generators 34 III.4 DG sizing approach to avoid miscoordination the overcurrent protection coordination 34 III.5 Traditional protection coordination 37 III.6 Crossed condition handling of overcurrent relay characteristic curves 39 CHAPTER IV Implementation Linear Programming Algorithm and Particle Swarm Optimizer Algorithm to Optimal Coordination Overcurrent Relays42 IV.1 Introduction 42 IV.2 Optimal coordination of overcurrent relays 42 IV.2.1 Overcurrent relay characteristic.43 IV.2.2 Constraints handling 43 IV.3 Linear programming algorithm 44 IV.3.1 Linear programming optimization toolbox MATLAB 46 IV.4 Particle Swarm Optimizer algorithm 47 IV.4.1 Tuning parameter of PSO algorithm 50 IV.4.2 PSO algorithm for constraints problem 52 IV.5 Test system example 52 IV.5.1 Initialization problem use Linear Programming algorithm 54 IV.5.1.1 Problem definition 54 IV.5.2 PSO algorithm for optimal coordination overcurrent relays 57 IV.5.3 The effect current transformer selection58 CHAPTER V Case Study 62 V.1 Introduction 62 V.2 Test case I62 V.3 Test case II 71 V.4 Test case III 75 CHAPTER VI Conclusions 84 REFERENCES 85 APPENDIX A 89 APPENDIX B 94

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