Title :
Switching PI control based on data driven virtual un-modeled dynamic compensation for the tip speed ratio of wind turbine system
Author :
Meng Zhang ; Liangyong Wang ; Ying Cui
Author_Institution :
State Key Lab. of Synthetical Autom. for Process Ind., Northeastern Univ., Shenyang, China
Abstract :
This paper deals with the maximum power capture control of variable speed wind turbines (VSWT). The control objective is to keep the tip speed ratio at its optimal value by tracking the desired generator rotor speed ratio and further maximize the power coefficient to capture maximum wind power. A PI switching controller based on virtual un-modeled dynamic compensation was proposed to deal with the complicated nonlinear uncertain wind energy conversion system and the stochastic behavior of wind. The proposed method is capable of solving nonlinearity, strong disturbance, order and parameter uncertainty and other complicated system problems effectively. Simulation results indicate that the control strategy can improve tracking performance and ensure while maintaining safe operation.
Keywords :
PI control; compensation; control nonlinearities; electric generators; optimal control; rotors; switching systems (control); wind power; wind turbines; PI switching controller; VSWT; complicated nonlinear uncertain wind energy conversion system; control objective; control strategy; data driven virtual unmodeled dynamic compensation; generator rotor speed ratio; maximum power capture control; maximum wind power; nonlinearity; optimal value; power coefficient; stochastic wind behavior; switching PI control; tip speed ratio; tracking performance; variable speed wind turbines; wind turbine system; Automation; Nonlinear dynamical systems; Pi control; Switches; Uncertain systems; Wind turbines; PI control; VSWT; data driven; nonlinear uncertain system; virtual un-modeled dynamics;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2014 11th World Congress on
DOI :
10.1109/WCICA.2014.7053419