Nonlinear Stochastic Adaptive Control for DFIG-Based Wind Generation System

Jian Zhang, Yong Wan (), Quan Ouyang and Meng Dong
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Jian Zhang: College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
Yong Wan: College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
Quan Ouyang: College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
Meng Dong: College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China

Energies, 2023, vol. 16, issue 15, 1-19

Abstract: The aim of this paper is to extract the maximum power from wind energy for the doubly fed induction generator based wind turbine system (DFIG-WT) under the continuous stochastic perturbations of wind speed. The DFIG-WT is modeled as the Itô stochastic differential equations. The stochastic backstepping control method and the gain suppressing inequality technique are employed to guarantee that the relative rotor speed to the optimal value is bounded in probability. Furthermore, we extend the bounded result to the asymptotic stability of the rotor speed control loop. In addition, the parametric uncertainties in DFIG-WT are also considered in our control synthesis. The simplicity, robustness and efficiency of the designed controller are verified under the special wind speed with white noise by the numerical simulation of a 660 KW DFIG-WT.

Keywords: DFIG; wind turbine; stochastic differential equations; stochastic backstepping control; stochastic wind speed; MPPT (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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