Doubly Fed Induction Generators: Control for Wind Energy [Hardcover]

Doubly Fed Induction Generators: Control for Wind Energy provides 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 DFIG
• Describes key theoretical fundamentals and the DFIG mathematical model
• Develops controllers using inverse optimal control, sliding modes, and neural networks
• Devises an improvement to add robustness in the presence of parametric variations
• Details the results of real-time implementations

All 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.

Introduction. Mathematical Preliminaries. Modeling of Wind Turbines. DFIG Control for Renewable Energy Systems. Neural Network Control of Wind Turbine Induction Generators. Implementation of Wind Energy Testbed. Appendices. References.

This comprehensive book addresses 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, the text discusses the main features and advantages of the DFIG, describes key theoretical fundamentals and the DFIG mathematical model, and develops controllers using inverse optimal control, sliding modes, and neural networks. It also devises an improvement to add robustness in the presence of parametric variations, as well as details the results of real-time implementations.

Edgar N. Sanchez was born in Sardinata, Colombia, in 1949. He earned tlã!