Control of a Wind Driven Doubly Fed Induction Generator During Grid Faults

Inhaltsverzeichnis (Table of Contents)

• CHAPTER (1)
  • INTRODUCTION
  • General
  • Thesis Objectives
  • Thesis Outlines
• CHAPTER (2)
  • LITERATURE REVIEW
  • Introduction
  • Synchronous Generators Driven by a fixed speed Turbine
  • Wound Field Synchronous Generator (WFSG) Driven by a wind turbine
  • Permanent-Magnet Synchronous Generator (PMSG) Driven by a wind turbine
  • Induction Generators Driven by a variable speed wind turbine
  • Squirrel Cage Induction Generator (SCIG)

Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)

This thesis delves into the control of a doubly fed induction generator (DFIG) during grid faults, focusing on the development of a field orientation scheme for regulating both active and reactive power. The main objective is to ensure stable operation of the DFIG under varying wind speeds and grid disturbances, while optimizing power extraction from the wind turbine.

• Control of a DFIG driven by a wind turbine
• Field orientation scheme for regulating active and reactive power
• Dynamic model of the DFIG during grid faults
• Fault ride-through (FRT) capability for maintaining grid connection during faults
• Optimization of wind energy utilization and system performance during grid disturbances

Zusammenfassung der Kapitel (Chapter Summaries)

Chapter 1 introduces the thesis, outlining its objectives and scope. Chapter 2 provides a comprehensive literature review, exploring various types of generators used in wind turbine applications, particularly focusing on DFIGs. This chapter examines the advantages and disadvantages of different generator configurations, setting the stage for the thesis's proposed solution.

Schlüsselwörter (Keywords)

The main keywords and focus topics of this thesis revolve around the control and performance of a doubly fed induction generator (DFIG) in wind turbine applications. Key themes include field orientation control, grid fault analysis, fault ride-through (FRT) capabilities, wind energy optimization, and system stability during grid disturbances. The work explores the dynamic modeling of the DFIG under varying wind conditions and during grid faults, highlighting the impact of these factors on the generator's performance and control strategies for mitigating negative effects.