Proceedings of the 2017 6th International Conference on Energy and Environmental Protection (ICEEP 2017)

Study of the Maximum Power Point Tracking Method for photovoltaic system

Authors
Yali Liu, Yaqiu Zhang
Corresponding Author
Yali Liu
Available Online June 2017.
DOI
10.2991/iceep-17.2017.205How to use a DOI?
Keywords
Serial resistance, shunt resistance,Maximum Power Point Tracking, PV System, Performance Comparison.
Abstract

In this paper, the influence of serial resistance Rs and shunt resistance Rsh for PV cells are studied. The series resistance Rs has a great influence on the output characteristics of the PV cells. Therefore, it is particularly important to solve the value of Rs for the model of solar cells. Rsh is very large, in the process of PV modular modeling, the value of Rsh can be neglected. Maximum power point tracking(MPPT) algorithms play an important role in the optimization of the power and the efficiency of a photovoltaic(PV) generation system. According to the contradiction of the classical Perturb and Observe(P&O) method between the corresponding speed and the tracking accuracy on steady-state, an improved MPPT method has been put forwarded in this paper. According to establishing control model and using MATLAB/Simulink to simulate the main circuit and control system, we made the comparison among P&O method and improved P&O method. In particular, this study compares the behaviors of each technique in presence of solar irradiation variations.We have also compared the output power of the system with two MPPT method.

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 2017 6th International Conference on Energy and Environmental Protection (ICEEP 2017)
Series
Advances in Engineering Research
Publication Date
June 2017
ISBN
10.2991/iceep-17.2017.205
ISSN
2352-5401
DOI
10.2991/iceep-17.2017.205How 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  - Yali Liu
AU  - Yaqiu Zhang
PY  - 2017/06
DA  - 2017/06
TI  - Study of the Maximum Power Point Tracking Method for photovoltaic system
BT  - Proceedings of the 2017 6th International Conference on Energy and Environmental Protection (ICEEP 2017)
PB  - Atlantis Press
SP  - 1174
EP  - 1179
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceep-17.2017.205
DO  - 10.2991/iceep-17.2017.205
ID  - Liu2017/06
ER  -