Abstract
In order to maximize the efficiency of PV energy conversion systems, PV arrays should operate at maximum power points so as to minimize losses. In this paper, an intelligent control technique for maximum power point tracking (MPPT) based on a modified sinusoidal extremum seeking control (ESC) is proposed for a PV module connected to a DC–DC Boost converter. In the new method, an adaptive control of the classical ESC duty ratio is designed to perfectly and quickly match the MPP during rapid change in irradiance or load. The proposed control scheme consists of a sinusoidal ESC modulated by an additional algorithm in order to accurately and quickly match the MPP during rapid changes in irradiance or system load. The stability of the proposed algorithm is analysed using Lyapunov theory. The ability to achieve the MPP with the proposed MPPT method is investigated through simulations in MATLAB/Simulink environment, and the results are compared to those of some recent methods namely, fast incremental conductance, classical ESC, adaptive ESC, modified ESC and estimated-based ESC methods. In addition, the experimental results of a real-time implementation of the proposed controller using the Arduino board are presented. From the results analysis, the proposed method has provided better performances.
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S. Kenfack Tsobze: modelling and simulations; A. Tchouani: Experimental setup support; S. R. Dzonde Naoussi : Implementation of different orientations; G. Kenne: choice of objectives and journal
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Tsobze, S.K., Njomo, A.F.T., Naoussi, S.R.D. et al. A new modified ESC algorithm for MPPT applied to a photovoltaic system for power losses mitigation under varying environmental conditions. Int. J. Dynam. Control 11, 354–369 (2023). https://doi.org/10.1007/s40435-022-00976-8
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DOI: https://doi.org/10.1007/s40435-022-00976-8