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研究生: 張丁明德
Truong-Dinh, Minh-Duc
論文名稱: 虛擬電容控制風電場及考慮尾流效應之的風電出力最佳化之綜合研究
Comprehensive study of wind farm with virtual capacitor control and optimal wind power production considering wake effect
指導教授: 張簡樂仁
Chang-Chien, Le-Ren
學位類別: 碩士
Master
系所名稱: 電機資訊學院 - 電機工程學系
Department of Electrical Engineering
論文出版年: 2023
畢業學年度: 111
語文別: 英文
論文頁數: 69
中文關鍵詞: 虛擬電容控制喚醒效果慣性控制頻率響應風有功功率控制
外文關鍵詞: Virtual Capacitor Control, Wake effect, Inertial control, frequency response, wind active power control
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  • Nowadays, the widespread use of renewable energy sources has introduced new challenges in power system operation. In particular, wind power plants (WPPs) aim to operate in Maximum Power Point Tracking (MPPT) mode for increased profits, but this can negatively impact frequency control capability. To address this issue, researchers focused on the methods of providing frequency regulation from WPPs. This thesis proposes a coordinated control strategy for permanent synchronous generator (PMSG)-based wind turbines (WTs) to provide both inertial and primary responses during frequency events. To provide frequency regulation, the DC-link of the Wind Energy Conversion System (WECS) can imitates inertia response using the stored DC-link energy. However, the energy from the DC-link alone is quite small compared to the power system, so the Virtual Capacitor Control (VCC) concept is employed to increase the virtual inertia of the WECS. PMSG acts as a capacitor with a vast capacitance value, Cvir, that depends on PMSG inertia. Previous research only mentioned VCC in de-loading mode when WTs can provide excess power, but this thesis explores VCC application to both de-loading mode and MPPT mode, taking rotor speed stability into consideration. The proposed control strategy also takes the wake effect into account. Simulations using MATLAB/Simulink software are exerted to verify that the WPP can also provide frequency response for frequency events as it is operating at the maximum power production.

    TABLE OF CONTENTS Chapter 1. Introduction 1 1.1. Motivation 1 1.2. Literature survey 4 1.2.1. Topics of active power control of wind farm 4 1.2.2. Topics of virtual capacitor control 6 1.2.3. Topics about the wake effect in wind farm 7 1.3. Contributions of the thesis 7 1.4. Organization of the thesis 8 Chapter 2. Mathematical models 9 2.1. Introduction 9 2.2. Model of Wind Power Plants (WPPs) 10 2.2.1. Model of wind turbines 10 2.2.2. Model of PMSG 13 2.2.3. Model of DC – link 14 2.3. Model of synchronous generating unit 15 2.4. The frequency response model of the power system 16 2.5. Summary 18 Chapter 3. A grid-connected PMSG system control strategy 19 3.1. Introduction 19 3.2. Active power control of the PMSG system 20 3.2.1. Maximum power point Tracking Methodology 20 3.2.2. Pitch Angel Control (PAC) 21 3.2.3. Rotor Speed Control 21 3.2.3.1. Set-point control mode (SPC) 22 3.2.3.2. Maximum Power Point Tracking Mode (MPPT) 23 3.3. Active power control of VSI (DC/AC) 23 3.4. Wind farm contribution to frequency control 24 3.4.1. Primary frequency control – Droop control 25 3.4.2. Primary frequency control – Inertia control 26 3.5. Summary 27 Chapter 4. Virtual Capacitor Control and the Proposed Control Strategy 28 4.1. The DC-link inertia control 28 4.2. Virtual Capacitor Control (VCC) 30 4.3. The Coordinate Control of PMSG-Based WT with VCC 31 4.4. Virtual Capacitor Control with adaptive parameters 32 4.4.1. Set-point control mode 33 4.4.2. MPPT control mode 33 4.5. Simulation case study 34 4.5.1. WECS operates in MPPT mode 34 4.5.2. WECS operates in de-loading mode 39 4.5.3. Discussion about the effect of the value of Cdc and Vdc 43 4.6. Summary 44 Chapter 5. The Wake Effect in Wind Farm and Maximize Control Strategy 46 5.1. The Jensen model of the Wake Effect 46 5.1.1. Single wake model 46 5.1.1.1. The Jensen wake model 46 5.1.1.2. Jensen’s partial wake model 49 5.1.2. Multiple Jensen wake model 50 5.1.3. Rotate axes equation 52 5.2. Maximize total power in wind farm when considering the wake effect 53 5.2.1. Evaluate the impact of each parameter 53 5.2.2. Maximize total power considering available reserve power 55 5.2.2.1. N wind turbine in a row 55 5.2.2.2. Maximum power of wind farm with Changhwa case layout 59 5.3. Summary 60 Chapter 6. Simulation Results and Discussion 61 Chapter 7. Conclusions and future works 64 7.1. Conclusions 64 7.2. Future works 64 References 66 Chapter 1. Introduction 1 1.1. Motivation 1 1.2. Literature survey 4 1.3. Contributions of the thesis 7 1.4. Organization of the thesis 8 Chapter 2. Mathematical models 9 2.1. Introduction 9 2.2. Model of Wind Power Plants (WPPs) 10 2.3. Model of synchronous generating unit 15 2.4. The frequency response model of the power system 16 2.5. Summary 18 Chapter 3. A grid-connected PMSG system control strategy 19 3.1. Introduction 19 3.2. Active power control of the PMSG system 20 3.3. Active power control of VSI (DC/AC) 23 3.4. Wind farm contribution to frequency control 24 3.5. Summary 27 Chapter 4. Virtual Capacitor Control and the Proposed Control Strategy 28 4.1. The DC-link inertia control 28 4.2. Virtual Capacitor Control (VCC) 30 4.3. The Coordinate Control of PMSG-Based WT with VCC 31 4.4. Virtual Capacitor Control with adaptive parameters 32 4.5. Simulation case study 34 4.6. Summary 44 Chapter 5. The Wake Effect in Wind Farm and Maximize Control Strategy 46 5.1. The Jensen model of the Wake Effect 46 5.2. Maximize total power in wind farm when considering the wake effect 53 5.3. Summary 60 Chapter 6. Simulation Results and Discussion 61 Chapter 7. Conclusions and future works 64 7.1. Conclusions 64 7.2. Future works 64

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