Proceedings of the 2016 4th International Conference on Renewable Energy and Environmental Technology (ICREET 2016)

Research on the method of MPPT of photovoltal systems based on PWM control

Authors
Yingbei Feng, Jian Zhang, Nawei Lv
Corresponding Author
Yingbei Feng
Available Online March 2017.
DOI
10.2991/icreet-16.2017.56How to use a DOI?
Keywords
PV, maximum power point, PWM control, Newton interpolation.
Abstract

In order to make PV systems more efficient and maximize the output power, this paper proposed a new MPPT algorithm for photovoltaic power generation, which combined PWM control and Newton quadratic interpolation, based on the analysis of the traditional maximum power point tracking (MPPT) control algorithm. The whole system was modeled and simulated on MATLAB/Simulink, and the results validate that the proposed method can search the maximum power point fast and avoid the oscillation around the maximum power point. The model used load which could be changed with PWM instead of boost circuit to avoid the interference of too much power electronics.

Copyright
© 2017, 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 2016 4th International Conference on Renewable Energy and Environmental Technology (ICREET 2016)
Series
Advances in Engineering Research
Publication Date
March 2017
ISBN
10.2991/icreet-16.2017.56
ISSN
2352-5401
DOI
10.2991/icreet-16.2017.56How to use a DOI?
Copyright
© 2017, 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  - Yingbei Feng
AU  - Jian Zhang
AU  - Nawei Lv
PY  - 2017/03
DA  - 2017/03
TI  - Research on the method of MPPT of photovoltal systems based on PWM control
BT  - Proceedings of the 2016 4th International Conference on Renewable Energy and Environmental Technology (ICREET 2016)
PB  - Atlantis Press
SP  - 329
EP  - 333
SN  - 2352-5401
UR  - https://doi.org/10.2991/icreet-16.2017.56
DO  - 10.2991/icreet-16.2017.56
ID  - Feng2017/03
ER  -