Title :
Nonlinear adaptive approach of wind power systems with stochastic disturbances
Author :
Liu Xiaodong ; Liu Feng ; Song Yongduan
Author_Institution :
Electron. Inf. Eng. Inst., Beijing Jiaotong Univ., Beijing, China
Abstract :
This article, considering the mechanical characteristic of wind turbine (WT), presents a nonlinear adaptive control strategy which is developed based on a two-mass model. Meanwhile, the nonlinear controller, applying backstepping adaptive approach based on virtual parameters, contributes to eliminate the undesirable effects of parametric uncertainties and stochastic disturbance. Moreover, the controller makes the rotor speed track the optimum value exactly by regulating the generator torque. The effectiveness of the proposed controller design methodology is finally demonstrated through numerical simulations.
Keywords :
adaptive control; control nonlinearities; nonlinear control systems; power generation control; stochastic systems; wind power plants; wind turbines; WT; backstepping adaptive approach; generator torque regulation; nonlinear adaptive control strategy; numerical simulations; optimum value; parametric uncertainties; rotor speed; stochastic disturbance; stochastic disturbances; two-mass model; virtual parameters; wind power systems; wind turbine mechanical characteristic; Generators; Mathematical model; Rotors; Stochastic processes; Torque; Wind speed; Wind turbines; adaptive identification; stability; stochastic differential equation (SDE); variable-speed wind turbine (VSWT); virtual parameter;
Conference_Titel :
Control Conference (CCC), 2014 33rd Chinese
Conference_Location :
Nanjing
DOI :
10.1109/ChiCC.2014.6896163