A Novel Maximum Power Point Tracking Algorithm for Small Wind Power Generator
Yepeng Liu, Weiliang Liu, Yongjie Zhai
Available Online September 2016.
- https://doi.org/10.2991/amitp-16.2016.21How to use a DOI?
- small-scale wind power generation, maximum power point tracking (MPPT),variable step hill-climbing method, fuzzy control, Cortex M4 core
- This paper introduces the composition of small wind power generation system and the principle of maximum power tracking at first. In order to improve the maximum power point tracking performance of the small-scale permanent magnet synchronous wind power system (WPS), a variable step hill-climbing method suitable for the small-scale WPS based on fuzzy logic control is proposed, which is obviously superior to the traditional fix step hill-climbing. Based on it, the simulation system is built by using Matlab/Simulink. And then the direct-driven WPS experimental platform is constructed with the Cortex M4 core. Finally, the results of simulation and experiment show that the method can effectively improve the search speed of the system and reduce the system fluctuation.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Yepeng Liu AU - Weiliang Liu AU - Yongjie Zhai PY - 2016/09 DA - 2016/09 TI - A Novel Maximum Power Point Tracking Algorithm for Small Wind Power Generator BT - Proceedings of the 2016 4th International Conference on Advanced Materials and Information Technology Processing (AMITP 2016) PB - Atlantis Press SP - 104 EP - 109 SN - 2352-538X UR - https://doi.org/10.2991/amitp-16.2016.21 DO - https://doi.org/10.2991/amitp-16.2016.21 ID - Liu2016/09 ER -