Optimizing wind energy conversion system efficiency using advanced modified super-twisting direct power control: Real-time implementation on dSPACE 1104 board

One of the most well-known nonlinear methods that is not based on the mathematical model of the wind conversion system is super-twisting control. This method is one of the best alternatives due to its excellent performance and robustness. However, this control technique has drawbacks, such as the presence of a significant gains number and the susceptibility to malfunctions in the complex wind energy system. Accordingly, a suitable solution for applying the super-twisting control strategy in the system control domain is proposed under the name "modified super-twisting control". This enhanced technique is characterized by its algorithmic simplicity, a reduced number of control gains, straightforward implementation on embedded platforms, and low computational and hardware cost, making it particularly suitable for real-time control applications. The proposed method strategy was applied to the direct power control method of a doubly fed induction generator, for which purpose a controller identifies and determines the reference voltage values for the machine's inverter. In addition to the use of the suggested control strategy, pulse width modulation was employed to control inverter operation. The proposed novel control strategy is characterized by its simplicity, minimal gain requirements, ease of implementation on embedded systems, and fast dynamic response. This proposed strategy was used in this research project to improve the quality of the supplied energy and reduce the value obtained for the various total harmonic distortion of the Fast Fourier Transform analysis of the supplied system currents and minimizing generated power overshoot. This proposed innovative strategy was, first, verified and implemented in a simulation environment. Then, Processor-in-the-Loop implementation was used to verify the behavior of this strategy in real-time embedded implementation, and compare the numerical results with conventional and typical control method strategies and some recent research works. Furthermore, the designed strategy reduced the ripples value, overshoot, and steady-state error of active power by estimated percentages of 78.84 %, 66.66 %, and 50 %, respectively, compared to the conventional direct power control strategy. Furthermore, the steady-state error, overshoot, and reactive power ripples were reduced by 60 %, 81.25 %, and 66.66 %, respectively, compared to the classical direct power control strategy.