A Hybrid optimal control structure of DFIG Wind Energy Convert System

Author

Shi Yun-tao ; Kou Qi ; Hou Yan-jiao ; Zhou Yang ; Sun De-hui ; Li Zheng-xi

Author_Institution

Key Lab. of Beijing for Field-bus Technol. & Autom., North China Univ. of Technol., Beijing, China

fYear

2014

Firstpage

4982

Lastpage

4987

Abstract

This paper proposes a Hybrid optimization, which combines intelligent genetic algorithm and nonlinear least squares method. The Hybrid optimization can achieve the optimal tuning value of ADRC controller. Under the control structure of Maximum Power Point Tracking(MPPT)strategy and Active Disturbances Rejection Control (ADRC), the ADRC controller which is tuned by the Hybrid optimization can find the optimal operation point for the Wind Energy Convert System(WECS) with Doubly Fed Induction Generator(DFIG).

Keywords

active disturbance rejection control; asynchronous generators; control system synthesis; genetic algorithms; least squares approximations; maximum power point trackers; optimal control; power generation control; wind power; ADRC controller; ADRC controller optimal tuning value; DFIG wind energy convert system; MPPT strategy; WECS; active disturbance rejection control; doubly fed induction generator; hybrid optimal control structure; hybrid optimization; intelligent genetic algorithm; maximum power point tracking strategy; nonlinear least squares method; Optimization; Rotors; Sociology; Statistics; Stators; Vectors; Wind turbines; ADRC control; DFIG; Hybrid optimization; MPPT;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation (WCICA), 2014 11th World Congress on

Type

conf

DOI

10.1109/WCICA.2014.7053559

Filename

7053559