The International Arab Journal of Information Technology (IAJIT)

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Modeling of a PV Panel and Application of Maximum Power Point Tracking Command based

on ANN,
The Photovoltaic (PV) systems are renewable and environmentally friendly. However, they still have numerous disadvantages such as high investment cost and low efficiency. For getting highest efficiency from a PV system in different operation conditions, PV panels and arrays should be operated at Maximum Power Points (MPPs). At MPP, PV arrays produce the electric energy at maximum efficiency and minimum losses. Some algorithms are used in PV systems to provide maximum efficiency and minimum losses. In this paper, a new 𝑃𝑉 panel model is proposed employing Matlab/Simulink, and three commands of the MPP Tracking (MPPT), are applied in our proposed PV system. These MPPT commands are (P&O), the Incremental Conductance (IC) and the í µí°´í µí±í µí± based one. Then, a comparative study between these three commands is performed. The simulations results obtained from Matlab/Simulink software, are presented for these approaches under rapid variation of insolation and temperature conditions. Those results confirm the effectiveness of the ANN based command both in terms of efficiency and fast response time and this compared to the two other commands (P&O and IC). Also compared to P& O and IC, negligible oscillations around the MPP is the main advantage of this ANN based command.


[1] Ahmed B. and Alhialy N., “Optimum Efficiency of PV Panel Using Genetic Algorithms to Touch Proximate Zero Energy House (NZEH),†Civil Engineering Journal, vol. 5, no. 8, pp. 1832- 1840, 2019.

[2] Bellia H., Youcef R., and Fatima M., “A Detailed Modeling of Photovoltaic Module Using MATLAB,†NRIAG Journal of Astronomy and Geophysics, vol. 3, no. 1, pp. 53-61, 2014.

[3] Bouselham L., Hajji M., Hajji B., and Bouali H., “A New MPPT-based ANN for Photovoltaic System under Partial Shading Conditions,†Energy Procedia, vol. 111, pp. 924-933, 2017.

[4] Chorfi J., Malika Z., and Mohamed M., “A New Intelligent MPPT Based on ANN Algorithm for Photovoltaic System,†in Proceedings of the 6th International Renewable and Sustainable Energy Conference, Rabat, pp. 1-6, 2018.

[5] Changizian M., Zakerian A., and Saleki A., “Three-Phase Multistage System (DC-AC-DC- AC) for Connecting Solar Cells to the Grid,†Italian Journal of Science and Engineering, vol. 1, no. 3, pp. 135-144, 2017.

[6] Diab H., El-Helw H., and Talaat H., “Intelligent Maximum Power Tracking and Inverter Hysteresis Current Control of Grid-Connected PV Systems,†in Proceedings of the International Conference on Advances in Power Conversion and Energy Technologies, Mylavaram, pp.1-5, 2012.

[7] Djalab A., Rezaoui M., Teta A., and Boudiaf M., “Analysis of MPPT Methods: P and O, INC and Fuzzy Logic (CLF) for a PV System,†in Proceedings of the 6th International Conference on Control Engineering and Information Technology, Istanbul, pp. 1-6, 2018.

[8] Dang T., Huynh V., and Truong H., “A Hybrid Template Protection Approach Using Secure Sketch and ANN for Strong Biometric Key Generation with Revocability Guarantee,†The International Arab Journal of Information Technology, vol. 15, no. 2, pp. 331-340, 2018.

[9] Hashim E. and Talib Z., “Modelling and Simulation of Solar Module Performance Using Five Parameters Model by Using Matlab in Baghdad City,†Journal of Engineering, vol. 24, no. 10, pp. 10-15, 2018.

[10] Hysa A., “Modeling and Simulation of the Photovoltaic Cells for Different Values of Physical and Environmental Parameters,†Emerging Science Journal, vol. 3, no. 6, pp. 395- 406, 2019.

[11] Islam M. and Kabir M., “Neural Network Based Maximum Power Point Tracking of Photovoltaic Arrays,†in Proceedings of the TENCON IEEE Region 10 Conference, Bali, pp. 79-82, 2011.

[12] Khaldi N., Mahmoudi H., Zazi M., and Barradi Y., “Implementation of a MPPT Neural Controller for Photovoltaic Systems on FPGA Circuit,†Wseas Transactions on Power Systems, vol. 9, pp. 541-549, 2014.

[13] Khaldi N., Mahmoudi H., Zazi M., and Barradi Y., “The MPPT Control of PV System by Using Neural Networks Based on Newton Raphson Method,†in Proceedings of the International Renewable and Sustainable Energy Conference, Ouarzazate, pp. 17-19, 2014.

[14] Khanam J. and Foo S., “Modeling of A Photovoltaic Array in MATLAB Simulink and Maximum Power Point Tracking Using Neural Network,†Electrical and Electronic Technology Open Access Journal, vol. 2, no. 2, pp. 40-46, 2018.

[15] Kumar C. and Surekha N., “Artificial Neural Network based Maximum Power point Tracking of Solar Panel,†International Journal of Computer Technology and Applications, vol. 10, no. 2, pp. 253-263, 2017.

[16] Mahamad A., Saon S., and Diaw K., FPGA Based Maximum Power Point Tracking of Photovoltaic System using Perturb and Observe Method during Shading Condition, Advanced Science Letters, 2014.

[17] Nazir C., “Solar Energy for Traction of High Modeling of a PV Panel and application of Maximum Power Point Tracking ... 577 Speed Rail Transportation: A Techno-Economic Analysis,†Civil Engineering Journal, vol. 5, no. 7, pp. 1566-1576, 2019.

[18] Ohba T., Matsuda R., Suemitsu H., and Matsuo T., “Improvement of EMC in MPPT Control of Photovoltaic System Using Auto-Tuning Adaptive Veocity Estimator,†Journal of Robotics and Mechatronics, vol. 27, no. 5, pp. 489-495, 2015.

[19] Ramaprabha R., Mathur B., and Sharanya M., “Solar Array Modeling and Simulation of MPPT Using Neural Network,†in Proceedings of the International Conference on Control, Automation, Communication and Energy Conservation, Perundurai, pp. 4-6, 2009.

[20] Selmi T., Abdul-Niby M., Devis L., and Davis A., “P&O MPPT Implementation Using 0$7/$%6LPXOLQN´in Proceedings of the 9th International Conference on Ecological Vehicles and Renewable Energies, Monte-Carlo, pp. 1-4, 2014.

[21] Seyedmahmoudian M., Horan B., KokSoon T., Rahmani R., MuangThan Oo A., Mekhilef S., Stojcevskie A., “State of The Art Artificial Intelligence-Based MPPT Techniques for Mitigating Partial Shading Effects on PV Systems- A Review,†Renewable and Sustainable Energy Reviews, vol. 64, pp. 435-455, 2016.

[22] Subiyanto S., Mohamed A., and Hannan M., “Maximum Power Point Tracking in Grid Connected PV System Using A Novel Fuzzy Logic Controller,†in Proceedings of the IEEE Student Conference on Research and Development, Serdang, pp. 349-352, 2009.

[23] Takun P., Kaitwanidvilai S., and Jettanasen C., “Maximum Power Point Tracking using Fuzzy Logic Control for Photovoltaic Systems,†in Proceedings of the International Multi Conference of Engineers and Computer Scientists, Hong Kong, pp. 986-990, 2011.

[24] Vergura S., “A Complete and Simplified Datasheet-Based Model of PV Cells in Variable Environmental Conditions for Circuit Simulation,†Energies, vol. 9, no. 5, pp. 1-12, 2016. Mourad Talbi is an Assistant Professor in Electrical Engineering in the Center of Researches and Technologies of Energy of BorjCedria, Tunis, Tunisia. He has obtained his Master degree in automatics and signal processing in National Engineering School of Tunis in 2004. He has obtained his PhD Thesis in Electronics in Faculty of Sciences of Tunis, and his HDR in Electronics in Faculty of sciences of Tunis. Nawel Mensia is an Assistant Professor in Electrical Engineering in the Center of Researches and Technologies of Energy of BorjCedria, Tunis. She received her Ph.D. degree in Electrical engineering from Elmanar Tunis University in 2011. Her research interests include application of advanced control in Photovoltaic systems. Hatem Ezzaouia Postgraduate Degree Physics of solids and Physics of semiconductors - Paris 11 University SUPELEC & CNRS (LPS) in France June 1980. - Doctorate in Physics of solids Paris 11 University & CNRS (LPS) France June 1982. – (HDR) University Habilitation in Physics (Faculté des Sciences de Tunis 1999 Tunisia) Manar University. -Post-Doc at the NATIONAL CENTRE FOR SCIENTIFIC RESEARCH (LPS-CNRS- MEUDONPARIS-FRANCE) from 1982 to 1985. - Assistant at the NATIONAL INSTITUT FOR SCIENTIFIC RESEARCH AND TECHNOLOGIES (INRST) in Tunisia from 1986 to 1989. - Assistant Professor at the INRST from 1989 to 1999. - Full Professor at the INRST from 1999 to 2004. - University Professor at the INRST in 2004. 1999 - 2001 Lab Director of LAS (INRST Solar Applications Laboratory), 2002-2005 Lab Director of LPVS (INRST Photovoltaic Laboratory and Semiconductors), 2006- 2009 Lab Director of LPVSN (Photovoltaic Laboratory Semiconductors and Nanostructures at CRTEn), 2015 Lab Director of LSNTA (Semiconductor Laboratory, Nanostructures And Advanced Technology at CRTEn).