Abstract
In this paper, a nonlinear controller is proposed to manage the rotational speed of a full-variable Squirrel Cage Induction Generator wind turbine. This control scheme improves upon tractional vector controllers by removing the need for a rotor flux observer. Additionally, the proposed controller manages the performance through turbulent wind conditions by accounting for unmeasurable wind torque dynamics. This model-based approach utilizes a current-based control in place of traditional voltage-mode control and is validated using a Lyapunov-based stability analysis. The proposed scheme is compared to a linear vector controller through simulation results. These results demonstrate that the proposed controller is far more robust to wind turbulence than traditional control schemes.
Highlights
The parameters used for the SCIG wind energy conversion systems (WECS) [28] is presented in
The proposed controller and the above vector controller have been tested for two experimental conditions
It is evident from this that as the operating point shifts abruptly, the nonlinear controller is about 75 times faster than the operating point shifts abruptly, the nonlinear controller is about 75 times faster than the vector controller. This illustrates that the proposed controller is better able to adapt the vector controller
Summary
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. As concerns over the use of fossil fuels rise, renewable energy generation has received increased attention. Wind energy conversion systems (WECS) have been growing in popularity for many years. The use of wind turbines to generate electricity has been increasing rapidly worldwide for multiple decades, with an estimated over 500 MW of installed capacity in 2018 [1]
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