Adaptive Fuzzy Sliding Mode Control of DFIG Wind Turbines to Capture Optimal Power Output

Abstract

Maximizing power extraction is crucial for optimizing Wind Energy Conversion Systems (WECS) as wind energy is an important renewable resource. DFIGs are commonly utilized because of their capacity to function at different wind speed. Still, a significant hurdle persists: achieving optimal power generation amidst varying wind patterns. Conventional PI controllers frequently struggle to sustain the ideal rotor speed, leading to decreased efficiency in power generation. This research introduces Adaptive Fuzzy Sliding Mode Controller (AFSMC) aimed at improving rotor speed regulation and maximizing power capture from wind turbines. MATLAB/SIMULINK simulations show that the AFSMC attains a maximum rotor speed of 1,420.55 RPM, exceeding the 1,417.69 RPM achieved by traditional PI controllers. This enhancement results in a 2.7% boost in power extraction efficiency. The AFSMC also greatly cuts down on response times, with a 1.2-second rise time and a 2.768 second settling time, as opposed to the PI controller's 1.8 and 4.952 seconds, respectively. Moreover, the system achieves a higher efficiency of 98.5% in extracting wind energy, compared to the 95.8% efficiency reached by PI controllers. The AFSMC allows the DFIG-based wind turbine to consistently operate at its Maximum Power Point (MPP) by adjusting control parameters in response to changing wind speeds. This guarantees both increased power capture efficiency and enhanced grid stability. The suggested controller focuses on maximizing power extraction, leading to improved system performance and energy efficiency.