Simulation of maximum wind energy tracking based on fuzzy control

Author

Xiaohong, Yang ; Yang Tong

Author_Institution

Dept. of Mech. Eng., North China Electr. Power Univ., Baoding, China

Volume

3

fYear

2010

fDate

10-12 Aug. 2010

Firstpage

1364

Lastpage

1368

Abstract

The tracking maximum wind energy of wind power generation system is analyzed and the corresponding simulation model is established. An intelligent control method based on fuzzy control theory is put forward. The method utilizes nonlinear control model of fuzzy system to solve the difficulties of precise control. In order to ensure the wind power generation system captures the maximum wind energy and runs smoothly, both the high-speed and low-speed operating condition is simulated to obtain the optimal tip speed ratio. The system is simulated with MATLAB, which shows the validity and the feasibility of the method.

Keywords

fuzzy control; fuzzy systems; intelligent control; nonlinear control systems; optimal control; tracking; wind power; wind power plants; fuzzy control; fuzzy system; high-speed operating condition; intelligent control method; low-speed operating condition; maximum wind energy tracking; nonlinear control model; optimal tip speed ratio; precise control; wind power generation; Fuzzy control; Generators; Wheels; Wind energy; Wind power generation; Wind speed; Wind turbines; Fuzzy control; Maximum wind energy tracing; Wind power generation;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on

Conference_Location

Yantai, Shandong

Print_ISBN

978-1-4244-5931-5

Type

conf

DOI

10.1109/FSKD.2010.5569088

Filename

5569088