Abstract
This paper presents an amelioration of P&O maximum power point tracking (MPPT) technique by using fuzzy logic method, when the main goal is to extract the maximum of power to supply a pumping system in an isolated area. The role of the MPPT is to force the system for working at the maximum point for each change of the illumination or the temperature. We present in first the classical technique, by explaining how we can obtain the maximum power under a variable meteorological condition. In P&O strategy, for big value of disturbance step we can get quickly the desired point but with a large oscillation. Small value of disturbance step makes very slow system and affects the responding time. By using fuzzy logic technique the appropriate disturbance step is produced in order to obtain a fast system with an acceptable precession. The simulation of the photovoltaic pumping chain is constructed under Matlab/Simulink, when the effectiveness of the fuzzy MPPT strategy is shown by the obtained results, which makes its application for controlling solar panels very interesting.
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Appendix
Appendix
Photovoltaic panel TE600 composed of 36 series cells (ns = 36), 60 W
P (kW) | Rs (Ω) | Rr (Ω) | Ls (H) | Lr (H) | Msr (H) | η m | J (kg/m2) | F (Nm/m2) | Wn (rad/s) | P |
|---|---|---|---|---|---|---|---|---|---|---|
Induction machine parameters | ||||||||||
1.5 | 5.72 | 4.2 | 0.462 | 0.462 | 0.44 | 0.92 | 0.0049 | 0.0098 | 150 | 2 |
Centrifugal pump parameters | ||||||||||
Kp = 3.3e−4[W/(rad s−1)3], kr = 3.3e−4[Nm/(rad s−1)2], ηp = 0.74 | ||||||||||
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Nebti, K., Debbabi, F. (2019). Amelioration of MPPT P&O Using Fuzzy-Logic Technique for PV Pumping. In: Hatti, M. (eds) Renewable Energy for Smart and Sustainable Cities. ICAIRES 2018. Lecture Notes in Networks and Systems, vol 62. Springer, Cham. https://doi.org/10.1007/978-3-030-04789-4_43
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DOI: https://doi.org/10.1007/978-3-030-04789-4_43
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