Proceedings of the 4th International Conference on Information Technology and Management Innovation

Photovoltaic power maximum power point tracking technology based on the fractional-step perturbation observation method

Authors
Shu-Wei Xu, Yan Dong, Yiyang Zhang, Lian-Feng Li, Jing-Yu Zeng, Hong-Wang Cai
Corresponding Author
Shu-Wei Xu
Available Online October 2015.
DOI
10.2991/icitmi-15.2015.59How to use a DOI?
Keywords
Solar Power; Maximumpower point; Track; Perturbation and observation method
Abstract

In order to obtain the maximum power output of the solar cell, the output power should be continuously monitored in real time. Based on the traditional perturbation and observation methods, we propose a new algorithm of maximum power point tracking. The method uses the slope of the P-V curve to determine the disturbance step, which improves the tracking performance. Simulation results show that this method is superior performance.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 4th International Conference on Information Technology and Management Innovation
Series
Advances in Computer Science Research
Publication Date
October 2015
ISBN
978-94-6252-112-4
ISSN
2352-538X
DOI
10.2991/icitmi-15.2015.59How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Shu-Wei Xu
AU  - Yan Dong
AU  - Yiyang Zhang
AU  - Lian-Feng Li
AU  - Jing-Yu Zeng
AU  - Hong-Wang Cai
PY  - 2015/10
DA  - 2015/10
TI  - Photovoltaic power maximum power point tracking technology based on the fractional-step perturbation observation method
BT  - Proceedings of the 4th International Conference on Information Technology and Management Innovation
PB  - Atlantis Press
SP  - 371
EP  - 376
SN  - 2352-538X
UR  - https://doi.org/10.2991/icitmi-15.2015.59
DO  - 10.2991/icitmi-15.2015.59
ID  - Xu2015/10
ER  -