Intro; Preface; Acknowledgements; Contents; Editorial Advisory Board; List of Reviewers; Nonlinear Modeling, Analysis and Simulation of Wind Turbine Control System With and Without Pitch Control as in Industry; 1 Brief Introduction; 2 State-of-the-Art Nonlinear Modeling of WTGs; 2.1 Main Outline of the Model; 2.2 Characteristics and Dynamical Analysis; 2.3 Documented Results and Conclusions About the Model; 3 Pitch Control, Simulations, Simulink Verification and Real Data Validation; 3.1 Modeling and Analysis of Pitch Control; 3.2 Pitch Control and Q Droop Function; 3.3 Simulations
3.4 Control Design4 Case Studies; 4.1 Case 1: Variation of Wind Speed and Demand Response; 4.2 Case 2: Invariant Wind Velocity and Communication Delays; 4.3 Case 3: Failure in a Communication Link; 4.4 Case 4: Verification of Reactive Power Demand; 5 Conclusion and Remarks; References; Sensitivity Analysis of Frequency Regulation Parameters in Power Systems with Wind Generation; 1 Introduction; 2 Modeling of the Variable Speed Wind Turbine Generator Control Loops; 3 Extraction of Sensitivity Functions; 3.1 Sensitivity to Inertia Hi; 4 Stability Analysis of Inertia Sensitivity of LFC with WT
3.4 Verification and Validation of the Model4 Conclusion; References; Distributed Cooperative Control of Wind Farms with On-site Battery Energy Storage Systems; 1 Introduction; 1.1 Literature Review; 1.2 Chapter Organization; 2 Dynamic Modeling of WT and BESS; 2.1 Small Signal Model of DFIG Wind Turbine; 2.2 Small Signal Model of BESS; 2.3 Overall Small Signal Model of the Integrated DFIG WT+BESS; 3 Distributed Cooperative Controller Design for DFIG Wind Turbines with On-site BESSs; 3.1 Simplified Model of DFIG Wind Turbine; 3.2 BESS Simplified Model; 3.3 Problem Formulation
4.1 Extraction of Differential Equation for Frequency Deviation4.2 Stability Analysis; 5 Simulation Results and Discussion; 5.1 Case 1: Frequency Response for a Load Step Change; 5.2 Case 2: Frequency Response for a Load Step Change and WT Contribution to LFC; 5.3 Case 3: Frequency Response for a Load Step Change and Increasing Wind Contribution to LFC; 5.4 Case 4: Frequency Response with Constant Wind Speed and Increasing Contribution of WT After Unstable Conditions; 5.5 Case 5:Frequency Response with a Simulated Wind Profile and Increasing Contribution of WT
5.6 Case 6: Frequency Response with a Simulated Wind Profile and Load Disturbance6 Conclusions; References; Wind Turbines Integration into Power Systems: Advanced Control Strategy for Harmonics Mitigation; 1 Introduction; 2 Wind Turbine Harmonic Generation; 2.1 Harmonic Distortions Inherent to the PWM Switching Pattern; 2.2 Harmonic Distortions Inherent to Switches Dead Time; 2.3 Harmonic Distortions Inherent to the Network Coupling Point; 2.4 Experimental Analysis of the Influence Factors; 3 Wind Turbine Grid Integration: Advanced Control Strategy; 3.1 Harmonic Current Mitigation Technique
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This book presents advanced studies on the conversion efficiency, mechanical reliability, and the quality of power related to wind energy systems. The main concern regarding such systems is reconciling the highly intermittent nature of the primary source (wind speed) with the demand for high-quality electrical energy and system stability. This means that wind energy conversion within the standard parameters imposed by the energy market and power industry is unachievable without optimization and control. The book discusses the rapid growth of control and optimization paradigms and applies them to wind energy systems: new controllers, new computational approaches, new applications, new algorithms, and new obstacles.
Springer Nature
com.springer.onix.9789811359958
Advanced control and optimization paradigms for wind energy systems.