Abstract:

In this study, the blade pitch angle of a wind turbine was tried to be controlled in the presence of time-varying wind speed. Thus, it is aimed to maintain the output power of the wind turbine system at its nominal output power and to protect the system from potential damages. For this purpose, PD (proportional-derivative), PI (proportional-integral) and PID (proportional-derivative-integral) controller structures were used. The parameters of the controllers are optimized with the Artificial Hummingbird Algorithm (AHA), which is a brand-new metaheuristic optimization algorithm in the literature. 30 independent runs were performed for the optimization process and the statistical data of these runs were evaluated. Modeling, optimization, and control studies of the wind turbine were carried out in Matlab/Simulink. When the obtained standard deviation values are compared, it is seen that the AHA-based PID controller (AHA-PID) produces more stable and robust results during the optimization process. According to the obtained results, the AHA-based PD controller (AHA-PD) is faster and more successful in terms of transient response for the nominal level of wind turbine output power.

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