论文信息 - Neural network for modeling solar panel

Neural network for modeling solar panel

In this paper, we present the results of the characterization and modeling of the electrical current-voltage and power-voltage of the photovoltaic (PV) panel BP 3160W, using a new approach based on artificial intelligence. We analyze the electrical parameters of solar cells and electrical parameters of the optimal PV panel (current, voltage and power) according to changes in weather (temperature, irradiation...) by the simulation programs carried out in MATLAB. These simulation results were compared with experimental data to be validated.

Moufdi Hadjab | Smail Berrah | Hamza Abid

[1] Vinod Krishna Sethi,et al. EVALUATING EFFECT OF INSOLATION ON PV CELL OUTPUT USING MATLAB/SIMULINK , 2010 .

[2] Geoffrey R. Walker,et al. Evaluating MPPT Converter Topologies Using a Matlab PV Model , 2000 .

[3] Chiranjeeb Dutta,et al. ANN based peak power tracking for PV supplied DC motors. , 2009 .

[4] Soteris A. Kalogirou,et al. Artificial neural networks in renewable energy systems applications: a review , 2001 .

[5] L.A.C. Lopes,et al. A simplified nonlinear power source for simulating PV panels , 2003, IEEE 34th Annual Conference on Power Electronics Specialist, 2003. PESC '03..

[6] A. Moussi,et al. Neural Network Use in the MPPT of Photovoltaic Pumping System , 2003 .

[7] H. Mekki,et al. Modeling and simulation of photovoltaic panel based on artificial neural networks and VHDL-language , 2007, 2007 14th IEEE International Conference on Electronics, Circuits and Systems.

[8] Huan-Liang Tsai,et al. Development of Generalized Photovoltaic Model Using MATLAB / SIMULINK , 2022 .