Modeling and advanced control of modern wind power /
An essential reference to the modeling techniques of wind turbine systems for the application of advanced control methods -- This book covers the modeling of wind power and application of modern control methods to the wind power controlspecifically the models of type 3 and type 4 wind turbines. The...
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Full text (MCPHS users only) |
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| Main Authors: | , |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Hoboken, New Jersey :
John Wiley & Sons, Inc.,
2017
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| Edition: | 1st. |
| Series: | Wiley - IEEE Ser.
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| Subjects: | |
| Local Note: | ProQuest Ebook Central |
MARC
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| 100 | 1 | |a Wu, Qiuwei, |e author. | |
| 245 | 1 | 0 | |a Modeling and advanced control of modern wind power / |c Qiuwei Wu, Yuanzhang Sun. |
| 250 | |a 1st. | ||
| 264 | 1 | |a Hoboken, New Jersey : |b John Wiley & Sons, Inc., |c 2017. | |
| 300 | |a 1 online resource. | ||
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| 505 | 0 | |a List of Contributors xi About the CompanionWebsite xiii 1 Status of Wind Power Technologies 1; Haoran Zhao and Qiuwei Wu 1.1 Wind Power Development 1 1.2 Wind Turbine Generator Technology 4 1.2.1 Type 1 4 1.2.2 Type 2 5 1.2.3 Type 3 5 1.2.4 Type 4 6 1.2.5 Comparison 7 1.2.6 Challenges withWind Power Integration 7 1.3 Conclusion 9 References 9 2 Grid Code Requirements for Wind Power Integration 11; Qiuwei Wu 2.1 Introduction 11 2.2 Steady-state Operational Requirements 12 2.2.1 Reactive Power and Power Factor Requirements 12 2.2.2 Continuous Voltage Operating Range 17 2.2.3 Frequency Operating Range and Frequency Response 18 2.2.4 Power Quality 24 2.3 Low-voltage Ride Through Requirement 26 2.3.1 LVRT Requirement in the UK 26 2.3.2 LVRT Requirement in Ireland 29 2.3.3 LVRT Requirement. | |
| 505 | 0 | |a In Germany (Tennet TSO GmbH) 30 2.3.4 LVRT Requirement in Denmark 31 2.3.5 LVRT Requirement in Spain 31 2.3.6 LVRT Requirement in Sweden 32 2.3.7 LVRT Requirement in the USA 33 2.3.8 LVRT Requirement in Quebec and Alberta 34 2.4 Conclusion 36 References 36 3 Control of Doubly-fed Induction Generators for Wind Turbines 37; Guojie Li and Lijun Hang 3.1 Introduction 37 3.2 Principles of Doubly-fed Induction Generator 37 3.3 PQ Control of Doubly-fed Induction Generator 40 3.3.1 Grid-side Converter 41 3.3.2 Rotor-side converter 43 3.4 Direct Torque Control of Doubly-fed Induction Generators 46 3.4.1 Features of Direct Torque Control 47 3.4.2 Application of Direct Torque Control in DFIGs 49 3.4.3 Principle of Direct Torque Control in DFIG 50 3.5 Low-voltage Ride Through of DFIGs 58 3.6 Conclusions 61 References 61 4 Optimal. | |
| 505 | 0 | |a Control Strategies of Wind Turbines for Load Reduction 63; Shuju Hu and Bin Song 4.1 Introduction 63 4.2 The Dynamic Model of aWind Turbine 64 4.2.1 Wind Conditions Model 64 4.2.2 Aerodynamic Model 64 4.2.3 Tower Model 66 4.2.4 DrivetrainModel 66 4.2.5 Electrical Control Model 67 4.2.6 Wind Turbine DynamicModel 67 4.3 Wind Turbine Individual Pitch Control 67 4.3.1 Control Implementation 68 4.3.2 Linearization of theWind Turbine Model 68 4.3.3 Controller Design 71 4.3.4 Simulation Analysis 73 4.4 Drivetrain Torsional Vibration Control 73 4.4.1 LQG Controller Design 73 4.4.2 Simulation Analysis 79 4.5 Conclusion 83 References 83 5 Modeling of Full-scale Converter Wind Turbine Generator 85; Yongning Chi, Chao Liu, Xinshou Tian, Lei Shi, | |
| 505 | 0 | |a And Haiyan Tang 5.1 Introduction 85 5.2 Operating Characteristics of FSC-WTGs 88 5.3 FSC-WTG Model 89 5.3.1 Shaft Model 89 5.3.2 Generator Model 91 5.3.3 Full-scale Converter Model 94 5.4 Full Scale Converter Control System 96 5.4.1 Control System of Generator-side Converter 97 5.4.2 Grid-side Converter Control System 101 5.5 Grid-connected FSC-WTG Stability Control 107 5.5.1 Transient Voltage Control of Grid-side Converter 108 5.5.2 Additional DC Voltage Coupling Controller 108 5.5.3 Simulations 109 5.6 Conclusion 114 References 114 6 Clustering-based Wind Turbine Generator Model Linearization 117; Haoran Zhao and Qiuwei Wu 6.1 Introduction 117 6.2 Operational Regions of Power-controlledWind Turbines 118 6.3 SimplifiedWind Turbine Model 119 6.3.1 Aerodynamics 119 6.3.2 Drivetrain 120 6.3.3 Generator 120. | |
| 505 | 0 | |a 6.3.4 Tower 121 6.3.5 Pitch Actuator 121 6.4 Clustering-based IdentificationMethod 122 6.5 Discrete-time PWA Modeling ofWind Turbines 123 6.5.1 Identification of Aerodynamic Torque Ta 123 6.5.2 Identification of Generator Torque Tg 123 6.5.3 Identification of Thrust Force Ft 124 6.5.4 Identification of Correction Factor Kc 125 6.5.5 Formulation of A2 d and B2 d 126 6.5.6 Region Construction through Intersection 126 6.5.7 PWA Model of aWind Turbine 126 6.6 Case Study 127 6.6.1 LowWind Speed Case 128 6.6.2 HighWind Speed Case 129 6.7 Conclusion 131 References 131 7 Adaptive Control of Wind Turbines for Maximum Power Point Tracking 133; Haoran Zhao and Qiuwei Wu 7.1 Introduction 133 7.1.1 Hill-climbing Search Control 134 7.1.2 Power Signal Feedback Control 135 7.1.3 Tip-speed Ratio Control 135 7.2 Generator Control. | |
| 505 | 0 | |a System forWECSs 135 7.2.1 Speed Reference Calculation 136 7.2.2 Generator Torque Control 138 7.2.3 Speed Control 139 7.3 Design of óD1 Adaptive Controller 140 7.3.1 Problem Formulation 140 7.3.2 Architecture of the óD1 Adaptive Controller 140 7.3.3 Closed-loop Reference System 142 7.3.4 Design of óD1 Adaptive Controller Parameters 142 7.4 Case Study 144 7.4.1 Wind Speed Estimation 144 7.4.2 MPPT Performance 144 7.5 Conclusion 147 References 148 8 Distributed Model Predictive Active Power Control of Wind Farms 151; Haoran Zhao and Qiuwei Wu 8.1 Introduction 151 8.2 Wind Farm without Energy Storage 152 8.2.1 Wind Farm Control Structure 152 8.2.2 Load Evaluation of theWind Turbine 154 8.2.3 MPC Problem Formulation 154 8.2.4 Standard QP Problem 156 8.2.5 Parallel Generalized Fast Dual Gradient Method 158 8.3 Wind. | |
| 505 | 0 | |a Farm Equipped with Energy Storage 160 8.3.1 Wind Farm Control Structure 160 8.3.2 Modelling of ESS Unit 161 8.3.3 MPC Problem Formulation 162 8.4 Case Study 163 8.4.1 Wind Farm Control based on D-MPC without ESS 163 8.4.2 Wind Farm Control based on D-MPC with ESS 166 8.5 Conclusion 171 References 172 9 Model Predictive Voltage Control ofWind Power Plants 175; Haoran Zhao and Qiuwei Wu 9.1 Introduction 175 9.2 MPC-basedWFVC 176 9.3 Sensitivity Coefficient Calculation 178 9.3.1 Voltage Sensitivity to Reactive Power 178 9.3.2 Voltage Sensitivity to Tap Position 179 9.4 Modeling ofWTGs and SVCs/SVGs 180 9.4.1 WTG Modeling 180 9.4.2 SVC/SVG Modeling 181 9.4.3 General Composite Model 182 9.5 Coordination with OLTC 183 9.6 Formulation of MPC Problem forWFVC 184 9.6.1 Corrective Voltage Control Mode 184 9.6.2 Preventive. | |
| 505 | 0 | |a Voltage Control Mode 186 9.7 Case Study 186 9.7.1 Scenario 1: Normal Operation 187 9.7.2 Scenario 2: Operation with Disturbances 187 9.8 Conclusion 190 References 191 10 Control of Wind Farm Clusters 193; Yan Li, Ningbo Wang, Linjun Wei, and Qiang Zhou 10.1 Introduction 193 10.2 Active Power and Frequency Control of Wind Farm Clusters 194 10.2.1 Active Power Control Mode of Wind Farms 194 10.2.2 Active Power Control Strategy of Wind Farm Cluster 198 10.2.3 AGC of Wind Farm Cluster 200 10.3 Reactive Power and Voltage Control of Wind Farms 200 10.3.1 Impact of Wind Farm on Reactive Power Margin of the System 200 10.3.2 Reactive Voltage Control Measures for Wind Farms 202 10.3.3 Reactive Vo. | |
| 520 | |a An essential reference to the modeling techniques of wind turbine systems for the application of advanced control methods -- This book covers the modeling of wind power and application of modern control methods to the wind power controlspecifically the models of type 3 and type 4 wind turbines. The modeling aspects will help readers to streamline the wind turbine and wind power plant modeling, and reduce the burden of power system simulations to investigate the impact of wind power on power systems. The use of modern control methods will help technology development, especially from the perspective of manufacturers. -- Chapter coverage includes: status of wind power development, grid code requirements for wind power integration; modeling and control of doubly fed induction generator (DFIG) wind turbine generator (WTG); optimal control strategy for load reduction of full scale converter (FSC) WTG; clustering based WTG model linearization; adaptive control of wind turbines for maximum power point tracking (MPPT); distributed model predictive active power control of wind power plants and energy storage systems; model predictive voltage control of wind power plants; control of wind power plant clusters; and fault ride-through capability enhancement of VSC HVDC connected offshore wind power plants. Modeling and Modern Control of Wind Power also features tables, illustrations, case studies, and an appendix showing a selection of typical test systems and the code of adaptive and distributed model predictive control. . Analyzes the developments in control methods for wind turbines (focusing on type 3 and type 4 wind turbines). Provides an overview of the latest changes in grid code requirements for wind power integration. Reviews the operation characteristics of the FSC and DFIG WTG. Presents production efficiency improvement of WTG under uncertainties and disturbances with adaptive control. Deals with model predictive active and reactive power control of wind power plants. Describes enhanced control of VSC HVDC connected offshore wind power plants -- Modeling and Modern Control of Wind Power is ideal for PhD students and researchers studying the field, but is also highly beneficial to engineers and transmission system operators (TSOs), wind turbine manufacturers, and consulting companies. | ||
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Wind power |x Mathematical models. | |
| 650 | 0 | |a Wind power plants |x Automatic control. | |
| 700 | 1 | |a Sun, Yuanzhang, |d 1954- |e author. |1 https://id.oclc.org/worldcat/entity/E39PCjGB3PgfGHwXx7YFGmdjkC | |
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