Robust low complexity multisurface super twisting sliding mode control for DFIG systems.

Area of Science:

• Electrical Engineering
• Renewable Energy Systems
• Control Theory

Background:

• Doubly fed induction generators (DFIGs) are crucial for efficient wind energy conversion.
• Conventional sliding mode control (SMC) methods face challenges with adaptability and chattering in dynamic environments.
• Existing controllers struggle with rapid environmental and grid disturbances in wind power systems.

Purpose of the Study:

• To develop a novel multisurface super-twisting sliding mode control (MSSTSMC) for enhanced robustness in DFIG systems.
• To improve the adaptability and reduce chattering of controllers under severe disturbances.
• To provide a computationally efficient and scalable control solution for wind energy applications.

Main Methods:

• Developed a novel MSSTSMC by overlapping multiple sliding surfaces for dynamic disturbance response.
• Conducted comprehensive simulations on a 2-MW grid-connected DFIG system.
• Tested performance under various conditions: step/turbulent wind, parameter variations (up to 180%), and grid frequency fluctuations.

Main Results:

• MSSTSMC demonstrated superior performance compared to conventional SMC, STSMC, and disturbance-observer-based STSMC.
• Achieved up to 37% reduction in active power tracking error and faster convergence (< 0.75 s).
• Maintained low computational load and under 0.1% current total harmonic distortion.

Conclusions:

• MSSTSMC offers a practical, scalable, and computationally efficient solution for high-performance wind energy.
• The proposed controller enhances system robustness and stability under dynamic operating conditions.
• Contributes to more reliable and stable renewable power generation from wind energy systems.