DocumentCode :
142662
Title :
Maximum power point tracking algorithm for wind power conversion system
Author :
Yue-Ping Zhu ; Zong-Xiao Yang ; Ai-Qi Si ; Lei Song
Author_Institution :
Henan Eng. Lab. of Wind Power Syst., Henan Univ. of Sci. & Technol., Luoyang, China
fYear :
2014
fDate :
7-9 April 2014
Firstpage :
602
Lastpage :
606
Abstract :
Wind energy is increasingly attracting the world´s attention because of it is a renewable energy cleanly and inexhaustibly. How to improve the stability and efficiency of the wind power conversion system is particularly important. A maximum power point tracking algorithm is proposed based on the experiment data: the open-jet & return-flow wind tunnel is used to simulate the natural wind and the curve of the optimal rotate speed versus the optimal power has been calculated. The rotate speed of wind turbine can be controlled according to the curve and the goal of real-time controlling the output power has been achieved consequently. The analytical procedure by using proposed algorithm can be well applied to the vertical axis wind turbines, and the stability and the efficiency of the wind power conversion system have been increased effectively.
Keywords :
maximum power point trackers; wind power plants; wind turbines; maximum power point tracking algorithm; return-flow wind tunnel; vertical axis wind turbines; wind power conversion system; wind turbine rotate speed; Rotation measurement; Silicon; Smoothing methods; Wind energy; Wind power generation; Wind speed; Wind turbines; Maximum power point tracking (MPPT) algorithm; Optimal output power; Optimal rotate speed; Wind power conversion system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networking, Sensing and Control (ICNSC), 2014 IEEE 11th International Conference on
Conference_Location :
Miami, FL
Type :
conf
DOI :
10.1109/ICNSC.2014.6819694
Filename :
6819694
Link To Document :
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