Imagine trying to control a wind turbine system (WTS) that’s affected by unpredictable wind speeds. This is no easy task, but researchers have been working on ways to make the power produced more reliable. One method they’ve turned to is something called Direct Vector Control (DVC), which helps deal with those rapid and random wind changes.
Recently, scientists used a technique called Social Spider Optimization (SSO) to improve the design of a special controller called Fractional-Order Fuzzy Proportional-Integral with Derivative (FOFPID). This controller combines the smarts of fuzzy logic and fractional-order control. The goal is to keep the output power of the wind turbine steady, even when the wind isn’t.
This new FOFPID controller is part of the rotor-side converter (RSC) in a Doubly Fed Induction Generator (DFIG)-based WTS. It replaces the traditional Proportional-Integral (PI) regulator, improving the control of both active and reactive power.
Researchers tested this new controller under different conditions, like changes in active power reference, parameter uncertainties, and sudden wind speed changes. They found that the FOFPID controller performed better than others in reducing maximum overshoot, extreme undershoot, settling time, and harmonic distortions like Total Harmonic Distortion (THD) and Weighted Total Harmonic Distortion (WTHD).
Moreover, this controller is tougher against mismatched parameters and weather changes compared to other designs. It’s like having a super-smart spider on the job, making wind power more reliable and efficient.
