: Ningsu Luo, Yolanda Vidal, Leonardo Acho
: Wind Turbine Control and Monitoring
: Springer-Verlag
: 9783319084138
: Advances in Industrial Control
: 1
: CHF 95.40
:
: Wärme-, Energie- und Kraftwerktechnik
: English
: 462
: Wasserzeichen/DRM
: PC/MAC/eReader/Tablet
: PDF

Maximizing reader insights into the latest technical developments and trends involvingwind turbine control and monitoring, fault diagnosis, and wind power systems, 'Wind Turbine Control and Monitoring' presents an accessible and straightforward introduction to wind turbines, but also includes an in-depth analysis incorporating illustrations, tables and examples on how to use wind turbine modeling and simulation software.

Featuring analysis from leading experts and researchers in the field, the book provides new understanding, methodologies and algorithms of control and monitoring, computer tools for modeling and simulation, and advances the current state-of-the-art on wind turbine monitoring and fault diagnosis; power converter systems; and cooperative& fault-tolerant control systems for maximizing the wind power generation and reducing the maintenance cost.

This book is primarily intended for researchers in the field of wind turbines, control, mechatronics and energy; postgraduates in the field of mechanical and electrical engineering; and graduate and senior undergraduate students in engineering wishing to expand their knowledge of wind energy systems. The book will also interest practicing engineers dealing with wind technology who will benefit from the comprehensive coverage of the theoretic control topics, the simplicity of the models and the use of commonly available control algorithms and monitoring techniques.



Ningsu Luo is Professor of Control Systems Engineering at Department of Electrical Engineering, Electronics and Automatic Control, University of Girona, Spain. He obtained his PhD in Control Engineering from Southeast University in 1990 and PhD in Physics Science from University of the Basque Country in 1994, respectively. His current research activities are focused on modeling, identification and control design for systems with complex dynamics, with application to control and monitoring of offshore floating wind turbines, mobile robotics, sustainable tillage, mechatronic systems, biomedical processes, active and semi-active control techniques for vibration mitigation in civil engineering structures and automotive suspension systems.

Yolanda Vidal was born in Baleares, Spain, in 1977. She received the B.E. degree in mathematics in 1999 and the Ph.D. degree in Applied Mathematics in 2005 from the Universitat Politècnica de Catalunya (UPC), Barcelona, Spain. Since 2002 she has been with the Department of Applied Mathematics III of the UPC where she became an associate professor in 2009. Her current research activities are focused on modeling and control design, fault detection and isolation systems with application to control and monitoring of wind turbines.

Leonardo Acho was born in the State of Mexico, Mexico, in 1967. He received the B.E. degree in electronics engineering from the Technology Institute of Monterrey (ITESM), Monterrey, Mexico, in 1989; and the M.Sc. and Ph.D. degrees in electronics and automatic control, from the Technology Institute of Monterrey (ITESM), Monterrey, Mexico, and from the Research Center of Ensenada (CICESE), México, in 1992 and 2002, respectively. Since February 2008, he has been with the Department of Applied Mathematics III of the Polytechnic University of Catalonia (UPC), Spain, where he was a Visiting Professor, and became an associate professor in 2009. His current research interests include control theory, nonlinear systems, and chaos engineering.

 

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Preface6
Contents9
Part IPower Converter Systems11
1 Modeling and Control of PMSG-Based Variable-Speed Wind Turbine12
Abstract12
1.1…Introduction13
1.2…Dynamic Model of PMSG-WT-Based Power Systems14
1.2.1 Permanent-Magnetic Synchronous-Generator16
1.2.2 Transmission Line17
1.2.3 Transformer17
1.2.4 Cable17
1.2.5 RL Load17
1.2.6 RL-Filter on the Grid-Side Converter18
1.2.7 Voltage Source Converter Controller18
1.3…The Supervisory Reactive Power Control21
1.4…Case Studies23
1.4.1 Wind-Speed Variation23
1.4.2 Local-Load Variation25
1.4.3 Voltage Sag in the Infinite Bus25
1.4.4 Fault-Ride Through Study26
1.5…Conclusion28
Acknowledgment28
A.0. Appendix29
A.0. Future Work29
References30
2 High-Order Sliding Mode Control of DFIG-Based Wind Turbines31
Abstract31
2.1…Introduction32
2.2…The Wind Turbine Modeling33
2.2.1 Turbine Model33
2.2.2 Generator Model34
2.3…Control of the DFIG-Based Wind Turbine36
2.3.1 Problem Formulation36
2.3.2 High-Order Sliding Modes Control Design37
2.3.3 High-Gain Observer40
2.3.4 High-Order Sliding Mode Speed Observer43
2.4…Simulation Using the FAST Code47
2.4.1 Test Conditions49
2.4.2 HOSM Control Performances49
2.4.3 HOSM Control Performances with High-Gain Observer50
2.4.4 Sensorless HOSM Control Performances51
2.4.5 HOSM Control FRT Performances52
2.5…Conclusions54
2.6…Future Work54
A.0. Appendix54
References55
3 Maximum Power Point Tracking Control of Wind Energy Conversion Systems57
Abstract57
3.1…Introduction58
3.2…Model of Wind Turbine59
3.3…Maximum Power Point Tracking61
3.4…Model of Wind Energy Conversion System62
3.5…Control Strategy for Wind Energy Integration into Power Network66
3.5.1 DC-Link Voltage Controller Design66
3.5.2 d-Axis Current Controller Design68
3.5.3 q-Axis Current Controller Design69
3.6…Simulations70
3.6.1 Step Changes in the Load Current71
3.6.2 Step Changes in the Source Voltage74
3.7…Conclusions74
Acknowledgments74
References74
Part IIControl76
4 Gain Scheduled H\boldinfty76
Control of Wind Turbines for the Entire Operating Range77
Abstract77
4.1…Introduction79
4.2…Wind Turbine Modeling80
4.3…Objectives and Control Scheme82
4.4…H\boldinfty82
Optimal Control Background87
4.5…Wind Turbine Control Design89
4.5.1 H\boldinfty89
Optimal Pitch Control90
4.5.2 Anti-windup Compensation92
4.6…Results94
4.7…Conclusion99
4.8…Future Research100
Acknowledgments100
References100
5 Design of Robust Controllers for Load Reduction in Wind Turbines102
Abstract102
5.1…Introduction103
5.2…General Control Concepts for Wind Turbines105
5.2.1 Wind Turbine Non-Linear Model107
5.2.2 Baseline Control Strategy108
5.3…Design of Robust Controllers111
5.3.1 Design of Hinfin Robust Controllers112
5.3.1.1 Multivariable Generator Torque Hinfin Control114
5.3.1.2 Multivariable Collective Pitch Hinfin Control115
Gain Scheduled Collective Pitch Hinfin Control119
5.3.1.3 Multivariable Individual Pitch Hinfin Control119
5.3.2 Closed Loop Analysis of the Designed Robust Controllers124
5.4…Simulation Results in GH Bladed125
5.5…Conclusions134
5.6…Future Work135
Acknowledgments136
References136
6 Further Results on Modeling, Analysis, and Control Synthesis for Offshore Wind Turbine Systems139
Abstract139
6.1…Introduction140
6.2…Model Description145
6.3…Controller Design148
6.4…Simulation Results149
6.5…Conclusions157
6.6…Future Work157
A.1. 6.7…Appendix157
References158
7 A Fault Tolerant Control Approach to Sustainable Offshore Wind Turbines160
Abstract160
7.1…Introduction162
7.2…Structure and Approaches to FTC Systems163
7.3…Wind Turbine Modelling165
7.4…Wind Turbine Aerodynamic and Control171
7.5…Investigation of the Effects of Some Faults Scenarios175
7.6…T-S Fuzzy PMIO-Based Sensor FTC177
7.6.1 Simulation Results183
7.7…Conclusions188
7.8…Future Research190
References190
Part IIIMonitoring and Fault Diagnosis194
8 Monitoring Ice Accumulation and Active De-icing Control of Wind Turbine Blades195
Abstract195
8.1…Introduction197
8.2…Atmospheric Icing199
8.3…Sensing and Actuation Background: Existing Methods199
8.3.1 Ice Sensing199
8.3.2 Thermal Actuation200
8.4…Blade Thermodynamics205