Wind Driven Doubly Fed Induction Generator

Adel Abdelbaset

ISBN 10: 331970107X / ISBN 13: 9783319701073

Published by Berlin Springer International Publishing Springer Nov 2017, 2017

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents a modified model reference adaptive system (MRAS) observer for sensorless vector control of a wind driven doubly fed induction generator (DFIG). A mathematical model of the DFIG as influenced by core loss and main flux saturation is developed. The authors describe and evaluate grid synchronization enhancement of a wind driven DFIG using adaptive sliding mode control (SMC). Besides, grid synchronization of a wind driven DFIG under unbalanced grid voltage is also fully covered in this book. 96 pp. Englisch.

Seller Inventory # 9783319701073

Bibliographic Details

• Title: Wind Driven Doubly Fed Induction Generator
• Publisher: Berlin Springer International Publishing Springer Nov 2017
• Publication Date: 2017
• Language: English
• ISBN 10: 331970107X
• ISBN 13: 9783319701073
• Binding: Buch
• Condition: Neu
• Dimensions: 243W x 158H x 15D millimeters 243 millimeters width by 158 millimeters height by 15 millimeters depth
• Weight: 330 grams

About this title

Synopsis

This book presents a modified model reference adaptive system (MRAS) observer for sensorless vector control of a wind driven doubly fed induction generator (DFIG). A mathematical model of the DFIG as influenced by core loss and main flux saturation is developed. The authors describe and evaluate grid synchronization enhancement of a wind driven DFIG using adaptive sliding mode control (SMC). Besides, grid synchronization of a wind driven DFIG under unbalanced grid voltage is also fully covered in this book.

About the Author

Adel A. Elbaset is an Associate Professor in Power Electronics at the Faculty of engineering, Minia University (Egypt). His research interests are in the area of renewable energy sources, power electronics, power system protection and control, power quality and harmonics, neural network and fuzzy systems.