High-Dimensional Multiple Fractional-Order Optimizer for Rotor Side Converter of Doubly-Fed Induction Generators

Abstract

The work proposes high-dimensional multiple fractional-order optimization algorithm (HMFOA) to tune the controller parameters of the rotor side converter of doubly-fed induction generator-based wind turbines to achieve higher control performance. The case studies are verified in eight benchmark mathematical optimization problems; the results illustrate that the proposed optimizer has fast convergence speed, high computational precision, and avoidance of falling into local optimums. Compared to four other algorithms, the results show that HMFOA obtains the optimal parameters of controllers and achieves more accurate power point tracking capability and certain fault ride-through capability, which verifies the feasibility and effectiveness of the algorithm.

Keywords

• High dimension
• fractional-order
• optimization algorithm
• DFIG
• rotor side converter