Processor-in-the-Loop validation of direct power control based on fractional-order modified super-twisting algorithm...

Area of Science:

• Electrical Engineering
• Control Systems
• Renewable Energy

Background:

• Super-Twisting Control (STC) offers robust nonlinear control for wind energy systems but requires many parameters and can be prone to failure.
• Existing methods face challenges with parameter tuning and system reliability in wind energy conversion.

Purpose of the Study:

• To introduce a Fractional-Order Modified Super-Twisting Control (FOMSTC) for improved performance and efficiency in wind energy conversion systems.
• To address the limitations of traditional STC, such as numerous gain parameters and susceptibility to failures.

Main Methods:

• Implemented the Fractional-Order Modified Super-Twisting Control (FOMSTC) within the Direct Power Control (DPC) strategy for a Doubly Fed Induction Generator (DFIG).
• Utilized Pulse Width Modulation (PWM) for inverter operation regulation.
• Validated the FOMSTC strategy through simulations and Processor-in-the-Loop (PIL) testing for real-time embedded system assessment.

Main Results:

• The DPC-FOMSTC strategy significantly reduced active power (Ps) ripples (78.85%), overshoot (69.05%), and steady-state error (SSE) (36.84%) compared to conventional DPC.
• Achieved substantial reductions in reactive power (Qs) SSE (70.90%), overshoot (52.63%), and ripple (63.46%) relative to conventional DPC.
• Demonstrated enhanced energy quality and reduced Total Harmonic Distortion (THD).

Conclusions:

• FOMSTC offers a simplified, efficient, and economically viable control solution for DFIG-based wind energy systems.
• The proposed method provides rapid dynamic response and is suitable for implementation in embedded systems.
• FOMSTC effectively enhances energy quality and system stability while limiting power overshoot.