Improved Segmented Control Strategy for Continuous Fault Ride-Through of Doubly-Fed Wind Turbines

Tie Chen, Yifan Xu (), Yue Liu, Junlin Ren and Youyuan Fan
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Tie Chen: College of Electrical and New Energy, China Three Gorges University, Yichang 443002, China
Yifan Xu: College of Electrical and New Energy, China Three Gorges University, Yichang 443002, China
Yue Liu: College of Electrical and New Energy, China Three Gorges University, Yichang 443002, China
Junlin Ren: College of Electrical and New Energy, China Three Gorges University, Yichang 443002, China
Youyuan Fan: College of Electrical and New Energy, China Three Gorges University, Yichang 443002, China

Energies, 2025, vol. 18, issue 14, 1-15

Abstract: Aiming at the transient overcurrent problem faced by doubly-fed induction generators (DFIGs) during continuous voltage fault ride-through, a segmented control strategy based on the rotor side converter (RSC) is proposed. First, through theoretical analysis of the relationship between stator current and transient induced electromotive force (EMF) in each stage of continuous faults, a feedforward control strategy based on the transient component of stator current is proposed. The observable stator current is extracted for its transient component, which is used as a rotor voltage compensation term to effectively counteract the influence of transient EMF. Meanwhile, a fuzzy control algorithm is introduced during the low voltage ride-through (LVRT) stage to dynamically adjust the virtual resistance value, enhancing the system’s damping characteristics. Studies show that this strategy significantly suppresses rotor current spikes in all stages of voltage ride-through. Finally, simulation results verify that the proposed method improves the ride-through performance of DFIG under continuous voltage faults.

Keywords: doubly-fed induction generator; fault ride through; rotor converter; feed-forward control; virtual resistance (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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