Comparative study of blade angle controllers with different optimization algorithms

This research is dedicated to improving the control system of wind turbines (WT) to ensure optimal efficiency and rapid responsiveness. To achieve this, the fuzzy logic control (FLC) method is implemented to control the converter in the rotor side (RSC) of a doubly fed induction generator (DFIG) and its performance is compared with an optimized proportional integral (PI) controller. The optimization process is implemented for the controllers of both the grid side converter (GSC) and RSC. Through simulated analyses conducted using MATLAB/Simulink software, comprehensive assessments are carried out. The robustness of the FLC is evaluated in contrast to the optimized controllers across various wind profiles and challenging operational scenarios. The results demonstrate satisfactory performance of the FLC in terms of steady-state time, stability, and precision under diverse wind speed profiles.

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Comparative study of blade angle controllers with different optimization algorithms

Cited by 3 publications

References 16 publications

Novel blade angle controllers techniques based on heuristics algorithms

Novel blade angle controllers techniques based on heuristics algorithms

Enhancement of PV performance by using hybrid TLBO-EO optimization

Comparative Analysis of PI and Fuzzy Logic Controller for Grid Connected Wind Turbine

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