Year: 2025
Type: article
Abstract: The Doubly Fed Induction Generator (DFIG) performance affected by several states such as the stator voltage variation which has been concentrated by many researchers. When a voltage-dip happens, both stator and rotor currents increase to a high level. Additionally, the DC-link voltage is also increased to a high value. The researchers proposed multiple approaches to mitigate the serious effects that associated with the voltage-dip. Fault-ride through techniques improve the stability of the grid under the voltage-dip and other disturbances that are occurred in the system. In this paper, Dynamic Voltage Restorer (DVR) integrated with adaptive-neuro-fuzzy-inference system (ANFIS) is implemented to enhance the DFIG operation during 50% voltage-dip of the rated value. The proposed scheme is compared with crowbar method. The results are shown that crowbar circuit connection to the DFIG did not mitigate the over-currents. Additionally, the rotor-side converter (RSC) control is lost. The rotor-currents are reduced, and the DC-link voltage ( ) is increased from 1150 V to 1200 V. However, the electromagnetic-torque suffered from ripples. However, the proposed DVR based on (ANFIS) controllers provides the best performance by predicting the voltage-dip occurrence, the rotor-currents are reduced to the normal values comparing with Crowbar method, the ) is also reached to the nominal value (1150 V).
Authors: Batol Amen Alsati, Ghassan Issa Ibrahim
Institution: Homs University
Language: English
Topic: Wind Turbine Control Systems
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $75
OpenAlex ID: W4415775183