Doubly fed induction generators: control for wind energy

✍ Scribed by Ruiz-Cruz, Riemann; Sanchez, Edgar N

• Publisher: CRC Press
• Year: 2016
• Tongue: English
• Series: Automation and control engineering
• Category: Library

✦ Synopsis

Doubly Fed Induction Generators: Control for Wind Energyprovides a detailed source of information on the modeling and design of controllers for the doubly fed induction generator (DFIG) used in wind energy applications. Focusing on the use of nonlinear control techniques, this book:Discusses the main features and advantages of the DFIGDescribes key theoretical fundamentals and the DFIG mathematical modelDevelops controllers using inverse optimal control, sliding modes, and neural networksDevises an improvement to add robustness in the presence of parametric variationsDetails the results of real-time implementationsAll controllers presented in the book are tested in a laboratory prototype. Comparisons between the controllers are made by analyzing statistical measures applied to the control objectives. Read more...

Abstract: Doubly Fed Induction Generators: Control for Wind Energyprovides a detailed source of information on the modeling and design of controllers for the doubly fed induction generator (DFIG) used in wind energy applications. Focusing on the use of nonlinear control techniques, this book:Discusses the main features and advantages of the DFIGDescribes key theoretical fundamentals and the DFIG mathematical modelDevelops controllers using inverse optimal control, sliding modes, and neural networksDevises an improvement to add robustness in the presence of parametric variationsDetails the results of real-time implementationsAll controllers presented in the book are tested in a laboratory prototype. Comparisons between the controllers are made by analyzing statistical measures applied to the control objectives

✦ Table of Contents

Content: Introduction Introduction and Overview of Recent Research Book Structure Notation Mathematical PreliminariesBlock ControlSliding ModesOptimal Control and Inverse Optimal Control Discrete Time High-Order Neural NetworksEKF Training Algorithm Neural Control Particle Swarm OptimizationModeling of Wind Turbines Wind Energy Generation Systems Discrete Time Mathematical ModelsDFIG Control for Renewable Energy Systems Block Control Sliding Modes Inverse Optimal Control Neural Network Control of Wind Turbine Induction GeneratorsNeural Identifiers Neural Sliding Modes Block Control Neural Inverse Optimal ControlImplementation of Wind Energy TestbedReal-Time Controller Programing Doubly Fed Induction Generator Prototype Sliding Modes Real-Time Results Neural Sliding Modes Real-Time Results Neural Inverse Optimal Control Real-Time ResultsAppendix A: Particle Swarm Optimization for Control Algorithms Particle Swarm Optimization for Inverse Optimal ControlParticle Swarm Optimization for Neural NetworksAppendix B: DFIG Modeling DFIG Mathematical ModelDC Link Mathematical ModelReferences

✦ Subjects

Wind energy conversion systems.;Wind power plants.;TECHNOLOGY & ENGINEERING / Mechanical