Maximum Power Point Tracking of Photovoltaic System Using Perturb and Observe and Fuzzy Logic Controller Techniques

Document Type : Original Article

Authors

Industrial Electronics and Control Engineering Department Faculty of Electronic Engineering Menoufia University, Minouf, Egypt

Abstract

Nowadays, there is trending toward utilizing renewable resources of energy, due to the massive shortage in fossil fuels, in addition to the environmental pollution caused by burning such fuels which in turn releases carbon dioxide. Photovoltaic systems are regarded as one of the most significant renewable energy resources, so it is required to enhance the performance of such systems. The performance of photovoltaic system can be enhanced by utilizing Maximum Power Point Tracking (MPPT) techniques by continuously tracking the maximum power point under changeable atmospheric conditions, as the characteristics of the photovoltaic systems depend nonlinearly on both solar radiance and ambient temperature. In this paper two MPPT techniques, Perturb and Observe algorithm (P&O) and fuzzy logic controller (FLC), are used to control the photovoltaic systems to reach to the maximum power point. Using the MATLAB program A simulation of a 250-watt photovoltaic module is done to justify that the proposed FLC design accomplishes better performance than P&O technique under various atmospheric conditions.

Keywords

References

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Menoufia Journal of Electronic Engineering Research
Volume 28, ICEEM2019-Special Issue
ICEEM2019-Special Issue: 1st International Conference on Electronic Eng., Faculty of Electronic Eng., Menouf, Egypt, 7-8 Dec.
2019
Pages 236-241

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