Stochastic distribution control for the permanent magnet synchronous generator based variable speed wind energy conversion systems

Author

Jianhua Zhang ; Ye Tian ; Mifeng Ren ; Jinfang Zhang ; Guolian Hou

Author_Institution

Sch. of Control & Comput. Eng., North China Electr. Power Univ., Beijing, China

fYear

2013

fDate

25-27 May 2013

Firstpage

1930

Lastpage

1935

Abstract

In this paper, the nonlinear dynamic model of the wind energy conversion system (WECS) is established. Due to the non-Gaussian randomness in the WECS introduced by the wind speed, stochastic distribution controller is designed for both maximum power point tracking (MPPT) and attenuation of disturbance. Compared with conventional PI controller, the effectiveness of the proposed approach is verified by some experimental results.

Keywords

machine control; maximum power point trackers; nonlinear dynamical systems; permanent magnet generators; stochastic systems; synchronous generators; wind power; MPPT; PI controller; WECS; disturbance attenuation; maximum power point tracking; nonGaussian randomness; nonlinear dynamic model; permanent magnet synchronous generator; stochastic distribution control; variable speed wind energy conversion systems; wind speed; Aerodynamics; Generators; Rotors; Stochastic processes; Wind energy; Wind speed; Wind turbines; Entropy; Probability Density Function; Stochastic Control; Wind Energy Conversion System;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (CCDC), 2013 25th Chinese

Conference_Location

Guiyang

Print_ISBN

978-1-4673-5533-9

Type

conf

DOI

10.1109/CCDC.2013.6561249

Filename

6561249