Abstract
The objective of this paper is to study the performance of a photovoltaic (PV) system controlled by two types of Maximum Power Point Tracking (MPPT) commands under a rapid change in load. These commands are, respectively, perturb and observe (P &O) and improved fuzzy logic (FL) based on two types of algorithms: Mamdani and Takagi-Sugeno (TS). These improved FL commands are based on two inputs which represent the slope of the power-current curve and changes of this slope instead of the power-voltage curve slope. The designed PV system consists of a typical PV panel (1Soltech 1STH215-P) feeding a resistive load via a (DC/DC) converter where the MOSFET is controlled by PWM signal generated by the MPPT control. The simulation results obtained using MATLAB/Simulink environment show that the performance of the boost converter is very satisfactory (97%) in efficiency and that FL-Mamdani, and FL-TS MPPTs controls are more efficient than the classical P &O. Indeed, the comparison of different performance parameters, such as PV system efficiency and response time to achieve MPP, shows that the PV system efficiency obtained by fuzzy logic method is about 99.60% for FL-Mamdani, 99.64% for FL-TS and 99.20% for P &O method under the rapid change in load. In addition, the response time is shorter for FL methods (25.7 ms for FL-Mamdani and 21.9 ms for FL-TS) than in P &O method which records 31.5 ms. Furthermore, the proposed FL controls (FL-Mamdani and FL-TS) reduce the oscillations obtained by the P &O method and converge quickly to the maximum power point (MPP) regardless the load change.
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Boutaybi, M., Khlifi, Y., Bekkay, H. (2023). Efficient Fuzzy Logic MPPT Controls for Sudden Change in Load. In: Bekkay, H., Mellit, A., Gagliano, A., Rabhi, A., Amine Koulali, M. (eds) Proceedings of the 3rd International Conference on Electronic Engineering and Renewable Energy Systems. ICEERE 2022. Lecture Notes in Electrical Engineering, vol 954. Springer, Singapore. https://doi.org/10.1007/978-981-19-6223-3_50
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