Proceedings of the 2016 4th International Conference on Advanced Materials and Information Technology Processing (AMITP 2016)

A Novel Maximum Power Point Tracking Algorithm for Small Wind Power Generator

Authors
Yepeng Liu, Weiliang Liu, Yongjie Zhai
Corresponding Author
Yepeng Liu
Available Online September 2016.
DOI
https://doi.org/10.2991/amitp-16.2016.21How to use a DOI?
Keywords
small-scale wind power generation, maximum power point tracking (MPPT),variable step hill-climbing method, fuzzy control, Cortex M4 core
Abstract
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.

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Proceedings
2016 4th International Conference on Advanced Materials and Information Technology Processing (AMITP 2016)
Part of series
Advances in Computer Science Research
Publication Date
September 2016
ISBN
978-94-6252-245-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/amitp-16.2016.21How to use a DOI?
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  - 2016 4th International Conference on Advanced Materials and Information Technology Processing (AMITP 2016)
PB  - Atlantis Press
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  -