DocumentCode
62701
Title
Adaptive Speed Control of a Small Wind Energy Conversion System for Maximum Power Point Tracking
Author
Haoran Zhao ; Qiuwei Wu ; Rasmussen, Claus Nygaard ; Blanke, Mogens
Author_Institution
Dept. of Electr. Eng., Tech. Univ. of Denmark, Lyngby, Denmark
Volume
29
Issue
3
fYear
2014
fDate
Sept. 2014
Firstpage
576
Lastpage
584
Abstract
This paper presents the design of an L1 adaptive controller for maximum power point tracking (MPPT) of a small variable speed wind energy conversion system (WECS). The proposed controller generates the optimal torque command for the vector-controlled generator-side converter based on the wind speed estimation. The proposed MPPT control algorithm has a generic structure and can be used for different generator types. In order to verify the efficacy of the proposed L1 adaptive controller for the MPPT of the WECS, a full converter wind turbine with a squirrel cage induction generator is used to carry out case studies using MATLAB/Simulink. The case study results show that the designed L1 adaptive controller has good tracking performance even with unmodeled dynamics and in the presence of parameter uncertainties and unknown disturbances.
Keywords
adaptive control; angular velocity control; asynchronous generators; control system synthesis; maximum power point trackers; power control; power convertors; power generation control; torque control; wind power plants; wind turbines; £1 adaptive speed control; MATLAB-Simulink; MPPT control algorithm; WECS; converter wind turbine; maximum power point tracking; optimal torque command generation; small wind energy conversion system; squirrel cage induction generator; vector-controlled generator-side converter; wind speed estimation; Aerodynamics; Generators; Maximum power point trackers; Rotors; Torque; Wind speed; Wind turbines; ${cal L}_1$ adaptive control; L1 adaptive control; full-converter wind turbine; maximum power point tracking (MPPT); wind energy conversion system (WECS);
fLanguage
English
Journal_Title
Energy Conversion, IEEE Transactions on
Publisher
ieee
ISSN
0885-8969
Type
jour
DOI
10.1109/TEC.2014.2312978
Filename
6782738
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