| An intelligent MPPT Technique based on Fuzzy Controller applied to Grid-Connected PV Systems in Temperature Fluctuations |
| Paper ID : 1138-ICEEM2023 (R1) |
| Authors |
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Mohamed Saad Elborlsy *1, ahmed elsayed ahmed2, Mostafa Ebied3 1Process Control Technology Dept., Faculty of Technology and Education, Beni-Suef University, Beni-Suef, Egypt 2Renewable Energy Science and Engineering Department, Faculty of Postgraduate Studies for Advanced Sciences (PSAS), Beni-Suef University, Beni-Suef 3Electronics Technology Department, Faculty of Technology and Education, Beni-Suef University, Beni-Suef, Egypt |
| Abstract |
| Maximum power point trackers (MPPTs) play a crucial role in harnessing the maximum power output from photovoltaic (PV) generators, regardless of fluctuations in temperature and irradiation conditions. This makes MPPTs essential for maximizing the efficiency of PV systems. The DC-DC boost converter is responsible for increasing the DC voltage generated by the PV system. Numerous MPPT algorithms are used to control these trackers, and one such technique is the fuzzy-logic controller (FLC). The FLC can adapt to changes in environmental conditions and system parameters like temperature and irradiance, which can impact the performance of traditional control strategies. Consequently, fuzzy-logic-based MPPT control offers improved performance and higher efficiency in grid-connected PV systems, particularly when operating conditions vary. To demonstrate the benefits of this approach compared to Incremental Conductance (IC) under normal temperature conditions, a sample system is simulated using MATLAB/Simulink software. |
| Keywords |
| photovoltaic (PV), maximum power point tracking (MPPT), fuzzy-logic controller (FLC), Temperature , Incremental conductance (IC). |
| Status: Accepted |