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Model Predictive Control for Doubly-Fed Induction Generators and Three-Phase Power Converters

1st Edition - January 6, 2022

Author: Alfeu Sguarezi

Paperback ISBN:

9 7 8 - 0 - 3 2 3 - 9 0 9 6 4 - 8

eBook ISBN:

9 7 8 - 0 - 3 2 3 - 9 0 3 2 3 - 3

Model Predictive Control for Doubly-Fed Induction Generators and Three-Phase Power Converters describes the application of model predictive control techniques with modulator and… Read more

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Model Predictive Control for Doubly-Fed Induction Generators and Three-Phase Power Converters describes the application of model predictive control techniques with modulator and finite control sets to squirrel cage induction motor and in doubly-fed induction generators using field orientation control techniques as both current control and direct power control. Sections discuss induction machines, their key modulation techniques, introduce the utility of model predictive control, review core concepts of vector control, direct torque control, and direct power control alongside novel approaches of MPC. Mathematical modeling of cited systems, MPC theory, their applications, MPC design and simulation in MATLAB are also considered in-depth.

The work concludes by addressing implementation considerations, including generator operation under voltage sags or distorted voltage and inverters connected to the grid operating under distorted voltage. Experimental results are presented in full.

Cover image
Title page
Table of Contents
Copyright
Dedication
List of figures
List of tables
List of contributors
Biography
Professor Dr. Alfeu J. Sguarezi Filho
Abbreviation list
Chapter 1: Introduction
Abstract
1.1. Overview
1.2. Structure of the book
Bibliography
Chapter 2: Induction machine and three-phase power converter dynamic models
Abstract
2.1. Space vector notation
2.2. Induction machine dynamic model
2.3. Three-phase power converter connected to the grid dynamic model
2.4. Pulse-width-modulation techniques
2.5. Summary
2.6. Further reading
Bibliography
Chapter 3: Fundamentals of vector control for DFIG and for the three-phase CCG
Abstract
3.1. Doubly-fed induction generator
3.2. Three-phase power CCG vector control
3.3. Summary
3.4. Further reading
Bibliography
Chapter 4: Fundamentals of model predictive control
Abstract
4.1. Overview
4.2. Finite control set model predictive control
4.3. MPC with modulator (MPC-WM)
4.4. Summary
4.5. Further reading
Bibliography
Chapter 5: Modulated FCS-MPC for DFIG-DPC
Abstract
5.1. Representation of DFIG using DPC
5.2. DPC for DFIG using the modulated FCS-MPC
5.3. Experimental results
5.4. Summary
Bibliography
Chapter 6: A wireless coded modulated FCS-MPC DPC for renewable energy sources in smart grid environment
Abstract
6.1. Overview
6.2. Three-phase power CCG using direct power predictive control
6.3. Representation of the wireless communication system
6.4. Analysis of the experimental results
6.5. Summary
Bibliography
Chapter 7: MPC-WM for doubly-fed induction generator and three-phase CCG
Abstract
7.1. DFIG rotor current control using MPC-WM
7.2. DFIG DPC using MPC-WM
7.3. Three-phase CCG current control using MPC-WM
7.4. Information about the choice of weighting matrices and horizons values
7.5. Summary
Bibliography
Chapter 8: Fundamentals of the model predictive repetitive control
Abstract
8.1. Fundamentals of repetitive control
8.2. Fundamentals of model predictive repetitive control
8.3. Summary
Bibliography
Chapter 9: MPRC-WM for DFIG and three-phase CCG operation under voltage distortions
Abstract
9.1. Representation of voltage distortions
9.2. Model of DFIG under stator distorted voltage
9.3. DFIG rotor current control using MPRC-WM
9.4. Three-phase power CCG model under grid distorted voltage
9.5. Three-phase power CCG current control using MPRC-WM
9.6. Summary
Bibliography
Chapter 10: Finite position set phase-locked loop operating under nonideal grid voltages
Abstract
10.1. PLL fundamentals
10.2. Representation of grid voltage disturbances
10.3. Finite position set PLL operation under grid disturbances
10.4. Experimental results
10.5. Summary
Bibliography
Chapter 11: Implementation of DFIG MPC-WM and three-phase power CCG MPRC-WM using Simulink/MATLAB®
Abstract
11.1. Introduction
11.2. Building embedded functions for Park–Clarke transformation
11.3. Building simulation model for DFIG
11.4. Building simulation model for three-phase power CCG
11.5. Summary
Bibliography
Chapter 12: DFIG and three-phase power CCG experimental setup
Abstract
12.1. Experimental setups
12.2. Information about the microcontroller
12.3. Predictive control implementation
12.4. Summary
Bibliography
Appendix A: DFIG parameters
Appendix B: Three-phase power CCG parameters
Appendix C: DC link voltage representation
Bibliography
Bibliography
Index