| Abstract | 第5-6页 |
| 摘要 | 第7-16页 |
| Table of Main Symbols | 第16-17页 |
| 1 Introduction | 第17-32页 |
| 1.1 Research Background and Significance | 第17-18页 |
| 1.2 Basic Structure of Wind Turbine | 第18-20页 |
| 1.3 Wind Turbine Fundamentals | 第20-24页 |
| 1.3.1 Incident Wind Power | 第20页 |
| 1.3.2 Betz's Criterion,Wind Turbine Power Coefficient and Efficiency | 第20-21页 |
| 1.3.3 Tip Speed Ratio (TSR) | 第21-22页 |
| 1.3.4 Mechanical Torque | 第22-23页 |
| 1.3.5 Aerodynamic Forces Acting on Wind Turbine Blades | 第23-24页 |
| 1.4 Fixed-Speed Wind Turbines (FS WTs) | 第24-25页 |
| 1.5 Variable-Speed Wind Turbines (VSWTs) | 第25-28页 |
| 1.5.1 Operation of VSWT | 第25-26页 |
| 1.5.2 Grid Integration of VSWT | 第26-28页 |
| 1.6 Research Contents of the Thesis | 第28-30页 |
| 1.6.1 Estimation of Weibull Wind Speed Probability Distribution and WindEnergy Potential, Selecting the Most Economically Viable Wind Turbine | 第28-29页 |
| 1.6.2 Effective Wind Speed Estimation and Maximum Power Point Tracking | 第29-30页 |
| 1.6.3 Real Time Estimation of Wind Turbine Power Coefficient and TipSpeed Ratio | 第30页 |
| 1.7 Thesis Structure and Organization | 第30-32页 |
| 2 Adaptive Neuro-Fuzzy Inference System (ANFIS): Basic Theory and Concepts | 第32-53页 |
| 2.1 Introduction | 第32页 |
| 2.2 Artificial Neural Networks (ANNs) | 第32-37页 |
| 2.2.1 Multilayer Feed-Forward Neural Networks | 第35-36页 |
| 2.2.2 Recurrent Neural Networks (RNN) or Multilayer Feedback NeuralNetworks | 第36页 |
| 2.2.3 Adaptive Neural Networks | 第36-37页 |
| 2.3 Fuzzy Logic Based Systems | 第37-45页 |
| 2.3.1 Fuzzy Set Theory and Fuzzy Logic | 第37-40页 |
| 2.3.2 Fuzzy Logic Operators | 第40-41页 |
| 2.3.3 Fuzzy Inference System (FIS) | 第41-43页 |
| 2.3.4 Mamdani FIS | 第43-44页 |
| 2.3.5 Takagi-Sugeno FIS | 第44页 |
| 2.3.6 Merits of Fuzzy Logic Based Systems | 第44-45页 |
| 2.3.7 Limitations of Fuzzy Logic Based Systems | 第45页 |
| 2.4 Adaptive Neuro-Fuzzy Inference System (ANFIS) | 第45-53页 |
| 2.4.1 Least Squares Estimator (LSE) Method in Forward Pass | 第48-49页 |
| 2.4.2 Back-Propagation Algorithm in Backward Pass | 第49-52页 |
| 2.4.3 Advantages of ANFIS | 第52-53页 |
| 3 Estimation of Wind Speed Probability Distribution and Wind Energy Potential | 第53-73页 |
| 3.1 Introduction | 第53-54页 |
| 3.2 Weibull Distribution and Weibull Probability Density Function | 第54-55页 |
| 3.3 Numerical Methods used for Weibull Parameter Estimation | 第55-57页 |
| 3.3.1 The Graphical Method (GM) | 第55页 |
| 3.3.2 The Empirical Method of Justus (EMJ) | 第55-56页 |
| 3.3.3 The Empirical Method of Lysen (EML) | 第56-57页 |
| 3.3.4 The Moment Method (MM) | 第57页 |
| 3.3.5 Energy Pattern Factor Method (EPFM) | 第57页 |
| 3.4 Site Specific Useful Wind Speeds | 第57-58页 |
| 3.5 Wind Power Density (WPD) | 第58页 |
| 3.6 Wind Energy Density (WED) | 第58页 |
| 3.7 Approximating the Wind Speed Data and Weibull Parameters at Hub Heightof Wind Turbine | 第58-59页 |
| 3.8 Evaluation of Wind Turbine Power Curve and Average Electrical PowerProduced | 第59-61页 |
| 3.9 Capacity Factor (CF) | 第61-62页 |
| 3.10 Experimental Results and Analysis | 第62-71页 |
| 3.10.1 Experimental Data of Wind Speed | 第62-63页 |
| 3.10.2 Evaluation of Weibull parameters for Experimental data usingNumerical Methods | 第63-64页 |
| 3.10.3 Performance Evaluation Criteria | 第64-65页 |
| 3.10.4 Estimation of Weibull PDF Using Adaptive Neuro-Fuzzy InferenceSystem (ANFIS) | 第65-69页 |
| 3.10.5 Estimating the Wind Energy Potential | 第69-70页 |
| 3.10.6 Selecting the Most Economically Viable Wind Turbine for AvailableWind Resources | 第70-71页 |
| 3.11 Chapter Summary | 第71-73页 |
| 4 Estimation of Effective Wind Speed and Optimal Rotor Speed for Variable-SpeedWind Turbine | 第73-86页 |
| 4.1 Introduction | 第73-75页 |
| 4.2 NREL Offshore 5 MW Baseline Wind Turbine | 第75页 |
| 4.3 Effective Wind Speed Estimator | 第75-80页 |
| 4.3.1 Experimental Data Collected From NREL Offshore 5 MW BaselineWind Turbine | 第75-76页 |
| 4.3.2 Designing ANFIS Based Effective Wind Speed Estimator andExperimental Results | 第76-80页 |
| 4.4 Optimal Rotor Speed Estimator | 第80-85页 |
| 4.4.1 Optimal Rotor Speed and Maximum Power Point Tracking of NRELOffshore 5 MW Baseline Wind Turbine | 第81-82页 |
| 4.4.2 Designing ANFIS Based Optimal Rotor Speed Estimator andExperimental Results | 第82-85页 |
| 4.5 Chapter Summary | 第85-86页 |
| 5 Estimation of Power Coefficient and Tip Speed Ratio for Variable-Speed WindTurbine | 第86-100页 |
| 5.1 Introduction | 第86-90页 |
| 5.2 Estimating the Wind Turbine Power Coefficient | 第90-94页 |
| 5.2.1 Experimental Data Collected From NREL Offshore 5 MW BaselineWind Turbine | 第90-91页 |
| 5.2.2 Designing ANFIS Based Power Coefficient Estimator andExperimental Results | 第91-94页 |
| 5.3 Estimating the Wind Turbine Tip Speed Ratio (TSR) | 第94-99页 |
| 5.3.1 Experimental Data Collected From NREL Offshore 5 MW BaselineWind Turbine | 第95页 |
| 5.3.2 Designing ANFIS Based TSR Estimator and Experimental Results | 第95-97页 |
| 5.3.3 Designing Multilayer Perceptron Feed-Forward Neural Network(MLPFFNN) Based TSR Estimator and Experimental Results | 第97-99页 |
| 5.4 Chapter Summary | 第99-100页 |
| 6 Conclusion and Outlook | 第100-103页 |
| 6.1 Conclusion | 第100-102页 |
| 6.2 Outlook | 第102-103页 |
| Abstract of Innovation Points | 第103-104页 |
| References | 第104-117页 |
| Published Academic Research Papers during PhD Period | 第117-118页 |
| Acknowledgement | 第118-119页 |
| About the Author | 第119-121页 |
