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

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

1st Edition - January 6, 2022

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  • Author: Alfeu Sguarezi
  • eBook ISBN: 9780323903233
  • Paperback ISBN: 9780323909648

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Description

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.

Key Features

  • Adopts model predictive control design for optimized induction machines geared for complex grid dynamics
  • Demonstrates how to simulate model predictive control using MATLAB and Simulink
  • Presents information about hardware implementation to obtain experimental results
  • Covers generator operation under voltage sags or distorted voltage

Readership

Senior division undergraduate and graduate students studying power electronics and its applications in renewable energy and elsewhere. Engineers in industry applications or in power electronics

Table of Contents

  • 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

Product details

  • No. of pages: 242
  • Language: English
  • Copyright: © Elsevier 2022
  • Published: January 6, 2022
  • Imprint: Elsevier
  • eBook ISBN: 9780323903233
  • Paperback ISBN: 9780323909648

About the Author

Alfeu Sguarezi

Alfeu J. Sguarezi Filho received the master’s and Ph.D. degrees from Campinas University, Campinas, Brazil, in 2007 and 2010, respectively. He is an IEEE Senior member. Since 2012, he is a Professor with the Federal University of ABC, Santo André, Brazil, where he teaches on electrical machines, power electronics, and electrical drives. His current research interests include machine drives, wind and photovoltaic energies, doubly fed induction generators, power control, predictive control and electrical power systems. He has published more than 100 papers in journals and conferences, 9 book chapters and he was the advisor of 8 Phd and 26 Master theses.

Affiliations and Expertise

Professor, Federal University of ABC, Santo Andre, Brazil

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