4.8 Article

An Improved Control Method for Standalone Brushless Doubly Fed Induction Generator Under Unbalanced and Nonlinear Loads Using Dual-Resonant Controller

期刊

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
卷 68, 期 7, 页码 5594-5605

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIE.2020.2994891

关键词

Harmonic analysis; Mathematical model; Power harmonic filters; Windings; Voltage control; Rotors; Induction generators; Brushless doubly fed induction generator (BDFIG); dual-resonant controller (DRC); nonlinear load; standalone operation; unbalanced load

资金

  1. National Natural Science Foundation of China [51707079, 51877093]
  2. National Key Research and Development Program of China [2018YFE0100200]
  3. Key Technical Innovation Program of Hubei Province [2019AAA026]

向作者/读者索取更多资源

The brushless doubly fed induction generator in standalone mode is sensitive to unusual working conditions, especially unbalanced and nonlinear loads. To address this issue, a dual-resonant controller is used to reduce the unbalance and nonlinear influences of power winding voltage. Experimental and simulation tests are conducted to verify the effectiveness of the proposed strategy.
The brushless doubly fed induction generator in the standalone mode is sensitive to unusual working situations, particularly unbalanced and nonlinear loads. The unbalanced and nonlinear loads can cause significant unbalance and distortion for voltage and current of the power winding (PW). In PW voltage under nonlinear and unbalanced loads, the component of negative sequence represents the unbalance influence, and the fifth and seventh harmonics components represent the nonlinear influence. To address these issues, the dual-resonant controller is employed to reduce the unbalance and nonlinear influences of PW voltage via generating the reference command of control winding voltage, which compensate the negative-sequence component and fifth and seventh harmonic components of PW voltage through the machine-side converter. The experimental and simulation tests are applied to check the effectiveness of the proposed strategy.

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