. The various components of the system have been modeled for the purpose of performing a simulation on MATLAB/Simulink. The transfer function was obtained thanks to a small MATLAB program which made it possible to regulate the DC bus voltage. The latter is maintained at the value of 50 V. The results obtained show the effectiveness of the proposed method. Energy is always available depending on the operating mode of the system.
At the end of these results, we aim to do an experimental validation of this model using the same command (ANFIS).
G(s):                   Transfer function.
[1] F. Chekired, Z. Smara, A. Mahrane, M. Chikh, and S. Berkane, "An energy flow management algorithm for a photovoltaic solar home," Energy Procedia, vol. 111, pp. 934-943, 2017.
[2] M. A. Munoz, M. C. Alonso-Garcia, N. Vela, and F. Chenlo, "Early degradation of silicon PV modules and guaranty conditions," Solar Energy, vol. 85, no. 9, pp. 2264-2274, 2011.
[3] A. Ndiaye, L. Thiaw, and G. Sow, "Application of new modeling and control for grid connected photovoltaic systems based on artificial intelligence," vol. 7, no. 1, pp. 1-10, 2015.
[4] S. Gueye, I. Gueye, L. Thiaw, G. Sow, A. Ndiaye, and M. Thiam, "Conception d'un regulateur solaire avec commande MPPT Comite InteANNtionale de lecture," Revue de la CAMES, vol. 1, pp. 104-108, 2015.
[5] C. Aouadi, C. Abouloifa, I. Lachkar et al., "Methode non lineaire avancee d'un systeme photovoltaique connecte au reseau monophase," in 3rd International Symposium on Industrial Systems Monitoring, CIMSI'2016, Fez, Morocco, October 2016.
[6] F. Chekired, C. Larbes, D. Bendib, and Z. Samara, "Implementation de la commande MPPT sur circuit FPGA utilisant les techniques intelligentes," in 3rd International Symposium on Industrial Systems Monitoring, CIMSI'2016, Fez, Morocco, October 2016.
[7] D. Spirov, V. Lazarov, D. Roye, Z. Zarkov, and O. Mansouri, Modelisation des convertisseurs statiques DC-DC pour des applications dans les energies renouvelables en utilisant MATLAB/Simulink, Conference EF, 2009.
[8] F. Chekired, A. Mahrane, M. Chikh, and Z. Smara, "Optimization of energy management of a photovoltaic system by the fuzzy logic technique," Energy Procedia, vol. 6, pp. 513-521, 2011.
[9] D. I. Brandao, L. S. de Araujo, T. Caldognetto, and J. A. Pomilio, "Coordinated control of three- and single-phase inverters coexisting in low- voltage microgrids," Applied Energy, vol. 228, pp. 2050-2060, 2018.
[10] F. Chekired, C. Larbes, D. Rekioua, and F. Haddad, "Implementation of a MPPT fuzzy controller for photovoltaic systems on FPGA circuit," Energy Procedia, vol. 6, pp. 541-549, 2011.
[11] S. Shabaan, M. I. Abu el-Sebah, and P. Bekhit, "Maximum power point tracking for photovoltaic solar pump based on ANFIS tuning system," Journal of Electrical Systems and Information Technology, vol. 5, no. 1, pp. 11-22, 2018.
[12] G. Sissoko, "Modelisation et simulation sous matlab / simulink de la chaine d'alimentation d'une station relais de telecommunications en energie solaire photovoltaique dans une zone isolee du reseau electrique," vol. 9, pp. 45-55, 2009.
[13] M. Elyaqouti, S. Hakim, S. Farhat, L. Bouhouch, and A. Ihlal, "Implementation in Arduino of MPPT using variable step size P&O algorithm in PV installations," International Journal of Power Electronics and Drive Systems (IJPEDS), vol. 8, no. 1, pp. 434-443, 2017.
[14] S. Hadji, J. P. Gaubert, and F. Krim, "Real-time genetic algorithms-based MPPT: study and comparison (theoretical an experimental) with conventional methods," Energies, vol. 11, no. 2, p. 459, 2018.
[15] N. Karami, N. Moubayed, and R. Outbib, "General review and classification of different MPPT Techniques," Renewable and Sustainable Energy Reviews, vol. 68, pp. 1-18, 2017.
[16] D. Gueye, A. Ndiaye, M. A. Tankari et al., "Design methodology of novel PID for efficient integration of PV power to electrical distributed network," International Journal of Smart Grid, vol. 2, no. 1, 2018.
[17] S. Hadji, J. P. Gaubert, and F. Krim, "Theoretical and experimental analysis of genetic algorithms based MPPT for PV systems," Energy Procedia, vol. 74, pp. 772-787, 2015.
[19] B. Kebe, O. Ba, B. Niang, and L. Thiaw, "Etude, synthese et implementation d'un controleur neuro- floue pour la commande de groupe turbo-alteANNteur," vol. 2, pp. 46-53, 2018.
[20] E. H. M. Ndiaye, A. Ndiaye, M. A. Tankari, and G. Lefebvre, "Adaptive neuro-fuzzy inference system application for the identification of a photovoltaic system and the forecasting of its maximum power point," in 2018 7th International Conference on Renewable Energy Research and Applications (ICRERA), vol. 5, pp. 1-7, Paris, France, October 2018.
[21] K. S. K. K. Sathish Kumar, "A review on hybrid renewable energy systems," Renewable and Sustainable Energy Reviews, vol. 52, pp. 907-916, 2015.
[22] K. Amara, A. Fekik, D. Hocine et al., "Improved performance of a PV solar panel with adaptive neuro fuzzy inference system ANFIS based MPPT," in 2018 7th International Conference on Renewable Energy Research and Applications (ICRERA), vol. 5, pp. 1098-1101, Paris, France, October 2018.
[23] M. A. Enany, M. A. Farahat, and A. Nasr, "Modeling and evaluation of main maximum power point tracking algorithms for photovoltaics systems," Renewable and Sustainable Energy Reviews, vol. 58, pp. 1578-1586, 2016.
[24] M. M. Ismail and A. F. Bendary, "Smart battery controller using ANFIS for three phase grid connected PV array system," Mathematics and Computers in Simulation, vol. 167, pp. 104-118, 2020.
[25] F. Zaouche, D. Rekioua, J. Gaubert, and Z. Mokrani, "Supervision and control strategy for photovoltaic generators with battery storage," International Journal of Hydrogen Energy, vol. 42, no. 30, pp. 19536-19555, 2017.
[26] Y. Riffonneau, Systeme photovoltaique avec stockage connecter au reseau--application a l'habitat Yann Riffonneau To cite this version : HAL Id: tel-00458260, 2010.
[27] Z. Roumila, D. Rekioua, and T. Rekioua, "Energy management based fuzzy logic controller of hybrid system wind/photovoltaic/diesel with storage battery," International Journal of Hydrogen Energy, vol. 42, no. 30, pp. 19525-19535, 2017.
[28] A. A. Aldair, A. A. Obed, and A. F. Halihal, "Design and implementation of ANFIS-reference model controller based MPPT using FPGA for photovoltaic system," Renewable and Sustainable Energy Reviews, vol. 82, pp. 2202-2217, 2018.
[29] A. M. S. Aldobhani and R. John, Maximum power point tracking of PV system using ANFIS prediction and fuzzy logic tracking, Hong Kong, 2008.
[30] S. Amirkhani, S. Nasirivatan, A. B. Kasaeian, and