Proceedings of the 2015 International conference on Applied Science and Engineering Innovation

PV Module Modeling and Maximum Power Point Tracking Based on Asymmetric Fuzzy Control

Authors
Hongjun Xiao, Xianxiang Li, Jun Wu, Zhongliang Luo
Corresponding Author
Hongjun Xiao
Available Online May 2015.
DOI
10.2991/asei-15.2015.302How to use a DOI?
Keywords
PV; the single-diode model; MPPT; asymmetric fuzzy control (AFC)
Abstract

In this paper, a parameter estimation method for the single diode model of photovoltaic (PV) module is proposed, and the simulation model of PV module is established. Based on the analysis of the PV module output characteristics under different temperature and irradiance, the monotonic decreasing characteristics of the output power derivative with regard to the output voltage is obtained, and the slope of this function is completely different at both sides of the maximum power point (MPP). Finally, according to those features, the asymmetric fuzzy controller of PV module for maximum power point tracking (MPPT) is designed. The main advantage of the proposed MPPT, compared with MPPT based on symmetric fuzzy control (SFC) is faster slightly higher efficiency and smaller oscillation.

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 2015 International conference on Applied Science and Engineering Innovation
Series
Advances in Engineering Research
Publication Date
May 2015
ISBN
978-94-62520-94-3
ISSN
2352-5401
DOI
10.2991/asei-15.2015.302How 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  - Hongjun Xiao
AU  - Xianxiang Li
AU  - Jun Wu
AU  - Zhongliang Luo
PY  - 2015/05
DA  - 2015/05
TI  - PV Module Modeling and Maximum Power Point Tracking Based on Asymmetric Fuzzy Control
BT  - Proceedings of the 2015 International conference on Applied Science and Engineering Innovation
PB  - Atlantis Press
SP  - 1518
EP  - 1524
SN  - 2352-5401
UR  - https://doi.org/10.2991/asei-15.2015.302
DO  - 10.2991/asei-15.2015.302
ID  - Xiao2015/05
ER  -