Maximum power extraction with numerical grey relational analysis sensorless controller for wind-turbine generator

Author

Chen, Shi-Jaw ; Chen, Jian Liung ; Lin, Chia-Hung ; Chang, Wei-Der ; Yau, Her-Terng ; Guo, Nai Ren

Author_Institution

Dept. of Electr. Eng., Kao Yuan Univ., Kaohsiung

fYear

2008

fDate

25-27 June 2008

Firstpage

350

Lastpage

354

Abstract

This paper proposes numerical grey relational analysis (NGRA) based sensorless controllers for a small wind generation system. The maximum power of wind-turbine generator varies with the wind speed. Optimal wind energy extraction is operated in variable-speed variable-frequency model. The sensorless control strategies consist of two NGRAs for maximum power extraction. The first NGRA is used the generator output voltage to estimate the maximum power under various wind speed. Then according to maximum power, the convert duty cycle is adjusted by using the second NGRA. For a permanent-magnet synchronous generator (PMSG), experimental results are provided to show the effectiveness of the proposed model.

Keywords

grey systems; numerical analysis; permanent magnet generators; power generation control; synchronous generators; turbogenerators; wind power plants; maximum power extraction; numerical grey relational analysis sensorless controller; optimal wind energy extraction; permanent-magnet synchronous generator; variable-speed variable-frequency model; wind generation system; wind-turbine generator; Control systems; Polynomials; Power engineering computing; Power generation; Sensorless control; Voltage; Wind energy; Wind energy generation; Wind speed; Wind turbines; Maximum Power Extraction; Numerical Grey Relational Analysis (NGRA); Permanent-magnet Synchronous Generator (PMSG);

fLanguage

English

Publisher

ieee

Conference_Titel

Soft Computing in Industrial Applications, 2008. SMCia '08. IEEE Conference on

Conference_Location

Muroran

Print_ISBN

978-1-4244-3782-5

Electronic_ISBN

978-4-9904-2590-6

Type

conf

DOI

10.1109/SMCIA.2008.5045988

Filename

5045988