INTERVAL TYPE 2 FUZZY LOGIC CONTROL FOR BRUSHLESS DOUBLY FED INDUCTION GENERATOR BASED ON WIND ENERGY CONVERSION SYSTEMS
DOI:
https://doi.org/10.59277/RRST-EE.2025.3.4Keywords:
Brushless doubly fed induction generator (BDFIG), Wind energy conversion systems (WECS), Interval type 2 fuzzy logic control (IT2FLC), Renewable energy, Back-to-back converter, Power factorAbstract
This paper presents a novel approach to utilizing interval type 2 fuzzy logic controllers (IT2FLC) for controlling brushless doubly fed induction generators (BDFIGs) in wind energy conversion systems (WECS). However, the complex dynamics and nonlinear characteristics of BDFIGs pose significant challenges for their control, especially under varying wind conditions. The proposed IT2FLC system design addresses these challenges by handling uncertainties and nonlinearities more effectively than traditional control methods. The interval-type 2 fuzzy logic approach offers a higher degree of freedom and improved performance in handling uncertainties, particularly in the presence of noisy or imprecise data. The IT2FLC system adapts to changing wind speeds and generator operating conditions, ensuring optimal power extraction and efficient energy conversion. The simulations demonstrate that the proposed IT2FLC system significantly enhances the performance of BDFIGs in WECS, providing stable and reliable control across various operating conditions. The system's ability to manage uncertainties and maintain efficient operation makes it a promising solution for integrating renewable energy sources into the grid.
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