Speed Control of Two-Mass Wind Turbine Using Computational Tuning Techniques

The complicated nonlinear system of wind turbines is represented and modeled frequently as a two-mass due to its intrinsic advantage. Furthermore, the stress caused by wind fluctuations and excessive overshoot can be reduced by utilizing an effective speed control technique. PID controllers emerge as a suitable option to regulate the speed of the wind turbine system. In this study, the PID controller's parameters
$(k_{p},\ k_{i},\ k_{d})$
are calculated utilizing computational tuning techniques (Particle Swarm Optimization PSO, Artificial Bee Colony Optimization ABC, and Grey Wolf Optimization GWO). The results demonstrate the superior performance of the designed Artificial Bee Colony controller ABC-PID method comparing it with the two other computational tuning methods in terms of several evaluation indices under various wind speed operating conditions.