Maximum Power Point Tracking of Photovoltaic System Using Perturb and Observe and Fuzzy Logic Controller Techniques | ||||
| Menoufia Journal of Electronic Engineering Research | ||||
| Article 5, Volume 28, ICEEM2019-Special Issue, 2019, Page 236-241 | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/mjeer.2019.64407 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Essam Nabil; Gomaa zaki; Sally Abdulaziz* | ||||
| 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 | ||||
| Renewable energy sources; Photovoltaic systems; Maximum power point trackers; Fuzzy control; DC‐DC power converters | ||||
| References | ||||
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