Enhancing Low-Voltage Ride-Through Capability of Wind Turbine Based Double-Fed Induction Generator Using ANIFS Controller and Crowbar Circuit
DOI:
https://doi.org/10.37256/jeee.4120256745Keywords:
Doubly Fed Induction Generator (DFIG), Low Voltage Ride Through (LVRT), Wind Turbine (WT), field oriented control, crowbar circuit, Adaptive Neuro Fuzzy Inference System (ANFIS)Abstract
The main target of this paper is to increase the Low-Voltage Ride-Through (LVRT) of the Doubly Fed Induction Generator (DFIG) driven by wind turbine. Two steps are proposed to achieve this goal: first, inserting a crowbar circuit (CB) into the rotor circuit to protect it from excessive current and voltage caused by transient flux during a Voltage Dip (VD); and second, implementing an ANFIS controller to regulate both the Rotor-Side Converter (RSC) and Grid-Side Converter (GSC). Simulation results demonstrate that without a CB circuit, the system becomes unstable. Next, an ANFIS-controller is proposed to control both the Rotor Side Converter (RSC) and the Grid Side Converter (GSC). The GSC is controlled such that the suggested controller will enhance LVRT by injecting the needed system reactive power. The RSC controller regulates electromagnetic torque, while the GSC controller manages real and reactive power during normal operation and maintains a fixed DC link voltage. Results confirm that the hybrid ANFIS-CB scheme effectively sustains DFIG stability and improves LVRT performance under challenging conditions, meeting acceptable criteria.
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Copyright (c) 2025 Ashraf K. Abdelaal, et al.

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