Optimized Fault Current Prediction for DFIG-Based Wind Turbines Using Type-I Fuzzy Logic Controller

Volume: 10 | Issue: 02 | Year 2024 | Subscription
International Journal of Analog Integrated Circuits
Received Date: 10/11/2024
Acceptance Date: 10/22/2024
Published On: 2024-11-20
First Page: 41
Last Page: 50

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By: Bibhu Prasad Ganthia and Praveen B .M.

1.Bibhu Prasad Ganthia,Post Doc Fellow, College of Engineering and Technology, Srinivas University, Mangalore, 574146, India.
2.Praveen B M,Director, College of Engineering and Technology, Srinivas University, Mangalore, 574146, India.

Abstract

The increasing integration of Doubly-Fed Induction Generator (DFIG)-based wind turbines into modern power grids requires robust fault detection and prediction mechanisms to ensure stable and reliable operation. However, accurately predicting fault currents in such systems is challenging due to the nonlinear dynamics involved. This study presents an optimized fault current prediction framework using a Type-I Fuzzy Logic Controller (FLC) to address these challenges. The proposed approach effectively models the uncertainties and variations in fault scenarios, enhancing the reliability of the fault current prediction process. The Type-I FLC is designed to handle imprecise input parameters, such as wind speed fluctuations and grid disturbances, which significantly impact the fault behaviour of DFIG systems. By integrating optimized membership functions and adaptive rule-based inference, the controller ensures precise estimation of fault currents under various fault conditions, including symmetrical and asymmetrical faults. The FLC also demonstrates high adaptability, enabling improved system performance even in dynamic grid environments. Simulation results validate the effectiveness of the proposed system, showing enhanced accuracy in fault current prediction compared to conventional methods. The optimized FLC-based prediction framework not only mitigates the risks associated with overcurrent but also ensures timely protective actions, minimizing potential disruptions. This approach provides a viable solution for grid operators to maintain stability and reliability in wind-integrated power systems, contributing to sustainable energy management.

Keywords: Wind Turbine System, WECS, DFIG, GSC, RSC, Fuzzy Logic Controller.

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How to cite this article: Bibhu Prasad Ganthia and Praveen B .M., Optimized Fault Current Prediction for DFIG-Based Wind Turbines Using Type-I Fuzzy Logic Controller. International Journal of Analog Integrated Circuits. 2024; 10(02): 41-50p.

How to cite this URL: Bibhu Prasad Ganthia and Praveen B .M., Optimized Fault Current Prediction for DFIG-Based Wind Turbines Using Type-I Fuzzy Logic Controller. International Journal of Analog Integrated Circuits. 2024; 10(02): 41-50p. Available from:https://journalspub.com/publication/ijaic/article=12168
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