Control of DFIG-based wind power generation system under unbalanced grid voltage conditions

Authors

  • Nabeel Abdelhadi Mohamed Fahal School of Electrical and Electronic Engineering, North China Electric Power University, Beijing, China. https://orcid.org/0000-0002-8000-7055
  • Tao Zheng School of Electrical and Electronic Engineering, North China Electric Power University, Beijing, China.

DOI:

https://doi.org/10.47264/idea.nasij/5.1.7

Keywords:

Wind energy, Wind turbines, Power converter, Power fluctuations, Imbalanced grid voltage, Grid disturbances, Doubly fed induction generator, Power rating limitation

Abstract

Doubly Fed Induction Generator (DFIG)-based wind turbines have become increasingly popular in recent years due to their capacity to operate at varying speeds. Weaknesses in the DFIG system can arise from issues with the power grid due to the stator's direct connection and the excitation converter's power rating limitation. Under situations of unbalanced grid voltage, this study aims to explore the efficacy of the Direct Power Control (DPC) approach in managing wind turbine systems based on DFIG. Throughout the experimental investigation, we evaluated the system in standard and unbalanced grid voltage settings. MATLAB/SIMULINK simulations implement DPC, specifically tailored for a 9 MW DFIG-based wind farm. The results of these simulations show that the changed control method effectively reduces torque oscillations by making it possible to create active and reactive power references for the rotor-side converter. This eliminates the requirement for sequence component excitation, which was previously necessary. Furthermore, the research highlights the intrinsic link between control techniques and grid circumstances, showing this connectivity's crucial role in improving wind energy systems' stability and operational efficiency based on DFIG. 

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Published

2024-05-08

How to Cite

Fahal, N. A. M., & Zheng, T. (2024). Control of DFIG-based wind power generation system under unbalanced grid voltage conditions . Natural and Applied Sciences International Journal (NASIJ), 5(1), 92–112. https://doi.org/10.47264/idea.nasij/5.1.7

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