High-Dimensional Multiple Fractional-Order Controllers for Doubly-Fed Induction Generator-Based Wind Turbines.

With the requirements of an increasingly complex power grid environment and rapidly increasing wind power grid-connected capacity, high rate utilization of wind power can reduce greenhouse gas emissions and alleviate dependence on fossil fuels. Conventional controllers could not achieve accurate control action for doubly-fed wind power systems with high-order, multivariable, strong-coupled, nonlinear characteristics. This paper proposes high-dimensional multiple fractional-order controllers (HDMFOCs) to track the maximum power point of doubly-fed induction generators (DFIGs). The HDMFOC introduces the fractional-order, which extends the integer-order domain to the fractional-order domain, expands the dynamic regulation range, introduces multi-level information, and adds proper adjustable parameters, enhancing robustness and anti-jamming performance of the controller. Case study results show that the HDMFOC has higher control performance than proportional-integral-derivative, fractional-order proportional-integral-derivative, and active disturbance rejection controller. Numerical simulations verify the feasibility and effectiveness of the HDMFOC for DFIG-based wind turbines. [ABSTRACT FROM AUTHOR]