Content
Light & Engineering 34 (1) 2026
Volume 34Date of publication 02/19/2026
Pages 49–57
Abstract:
In this work, the modelling and Real-Time Implementation of a Photovoltaic (PV) System, are performed. This PV system is composed by a Solar PV Panel, a DC-DC boost converter and the resistive load. This DC-DC converter is controlled by a Maximum Power Point Tracking (MPPT) controller employing Perturb and Observe (P&O) or Incremental Conductance (IC) algorithm. This DC-DC boost converter is controlled via the Pulse Width Modulation (PWM) signal, generated from the employed Arduino card (as an output of this card). The modelling of this PV system is performed under ISIS. The implementation of IC or P&O algorithm is performed using this card.
References:
1. Laxmi, G., Daljeet, P.S., Neeraj, S., and Kuldeep S.K. Comparative Analysis of P & O and INC MPPT Algorithms for PV System under Variable Irradiance // E3S Web of Conferences ICPES, 2023, 540, 12003, https://doi.org/10.1051/e3sconf/202454012003 2. Priyanka, M. Modelling and Control of a Battery for Renewable Energy Sources // International Journal of New Technologies in Science and Engineering (IJNTSE), April. 2022, Vol. 8, Issue. 4, pp. 1–5. 3. Rath, B.B. et al. Photovoltaic Partial Shading Performance Evaluation with a DSTATCOM Controller // IEEE Access, Vol. 10, pp. 69041–69052, 2022, doi: 10.1109/ACCESS.2022.3186906 4. Malla, S.G., Malla, Jagan M.R., Malla, P., Ramasamy, S., Doniparthi, S.K., Sahu, M.K., Subudhi, P.K., and Awad, H. Coordinated power management and control of renewable energy sources based smart grid // International Journal of Emerging Electric Power Systems, 2022, Vol. 23, # 2, pp. 261–276. https://doi.org/10.1515/ijeeps‑2021–0113 5. Chandrasekhar, N. Modified Grey Wolf Optimization Algorithm for MPPT of PV System under Partial Shading Conditions // International Journal of New Technologies in Science and Engineering (IJNTSE), 2022, Vol. 8, # 5, pp. 1–6. 6. Priyanka, M. Novel Control Technique for MPPT of PV Standalone System with TSK Fuzzy controller // International Journal of New Technologies in Science and Engineering (IJNTSE), 2022, Vol. 8, # 8, pp. 1–7. 7. Malla, S.G. et al., Whale Optimization Algorithm for PV Based Water Pumping System Driven by BLDC Motor Using Sliding Mode Controller // IEEE Journal of Emerging and Selected Topics in Power Electronics, 2022, Vol. 10, # 4, pp. 4832–4844, doi: 10.1109/JESTPE.2022.3150008 8. Dash, D.P., Bagarty, P.K., Hota, R.K. Behera Muduli, U.R. and Al Hosani, K. DC Offset Compensation for Three-Phase Grid-Tied SPV-DSTATCOM Under Partial Shading Condition with Improved PR Controller // IEEE Access, 2021, Vol. 9, pp. 132215–132224, doi: 10.1109/ACCESS.2021.3115122 9. Malla, S.G. Dadi P.K. and Dadi J. Wind and photovoltaic based hybrid stand-alone power generation system // 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS), Chennai, India, pp. 3718–3725, doi: 10.1109/ICECDS.2017.8390158 10. Keerthana, K., Singaravelu, S. Enhancing the Robustness of P and O Algorithm-Based MPPT Control in Stand-Alone PV Systems through Fine Tuned PI Controller for Dynamic Load Variations // SSRG International Journal of Electronics and Communication Engineering, 2024, Vol. 11, # 6, pp. 9–19. 11. Adithya, B. et al. Energy Efficient Perturb and Observe Maximum Power Point Algorithm with Moving Average Filter for Photovoltaic Systems // International Journal of Renewable Energy Research, 2019, Vol. 9, # 1, pp. 207–214. 12. Rajesh, K., Ananyo, B., Aanchal S.S., Vardhan. Fuzzy Logic Controller and P&O-Based MPPT Techniques for Stand-Alone PV Systems: A Comparison // Research Square, 2024. https://doi.org/10.21203/ rs.3.rs‑4926323/v1 13. Ahmed, J.Y., Maan, A.A., Raed, S.A., Heider, N.B. Renewable Energy Sources in International Energy Reality and Prospects // International Journal of Innovation, Creativity and Change, 2020, (www.ijicc.net), Vol. 11, # 3. 14. Singh, S., Singh, P. and Said, Z. Solar Energy Applications // Nanotechnology Applications for Solar Energy Systems // Wiley, 2023, pp. 1–23, doi:10.1002/9781119791232.ch1 15. Daryaei, M., Esteki, M. and Khajehoddin, S.A. High Efficiency and Full MPPT Range Partial Power Processing PV Module-Integrated Converter // IEEE Trans. Power Electron., 2023, Vol. 38, # 5, pp. 6627–6641, doi: 10.1109/TPEL.2023.3243174 16. Khodair, D., Salem, M.S., Shaker, A., El Munim, E.A., and Abouelatta, M. Application of Modified MPPT Algorithms: A Comparative Study between Different Types of Solar Cells // Appl. Sol. Energy, Vol. 56, # 5, pp. 309–323, doi: 10.3103/S0003701X20050084 17. Manoharan, P. et al., Improved Perturb and Observation Maximum Power Point Tracking Technique for Solar Photovoltaic Power Generation Systems // IEEE Syst. J., 2021, Vol. 15, # 2, pp. 3024–3035, doi: 10.1109/JSYST.2020.3003255 18. Zebraoui, O. and Bouzi, M. Improved MPPT controls for a standalone PV/wind/battery hybrid energy system // Int. J. Power Electron. Drive Syst., 2020, Vol. 11, # 2, pp. 988–1001, doi: 10.11591/ijpeds.v11.i2 19. Khokhar, S.D., Peng, Q., Asif, A., Noor, M.Y., and Inam, A.A. Simple Tuning Algorithm of Augmented Fuzzy Membership Functions // IEEE Access, 2020, Vol. 8, pp. 35805–35814, doi: 10.1109/ACCESS.2020.2974533 20. Sharma, A.K. et al. Role of Metaheuristic Approaches for Implementation of Integrated MPPT-PV Systems: A Comprehensive Study // Mathematics, vol. 11, no. 2, p. 269, Jan. 2023, doi: 10.3390/math11020269 21. Subramanian, V., Indragandhi, V., Kuppusamy, R., and Teekaraman, Y. Modelling and Analysis of PV System with Fuzzy Logic MPPT Technique for a DC Microgrid under Variable Atmospheric Conditions // Electronics, 2021, Vol. 10, # 20, p. 2541, doi: 10.3390/electronics10202541 22. Nordin, N.A. et al. Integrating Photovoltaic (PV) Solar Cells and Supercapacitors for Sustainable Energy Devices: A Review // Energies, 2021, Vol. 14, # 21, p. 7211, doi: 10.3390/en14217211 23. Murtaza, A.F., Sher, H., Al-Haddad, A. K., and Spertino, F. Module Level Electronic Circuit Based PV Array for Identification and Reconfiguration of Bypass Modules // IEEE Trans. Energy Convers., 2021, Vol. 36, # 1, pp. 380–389, doi: 10.1109/TEC.2020.3002953 25. Barbosa, E.J., Cavalcanti M.C, de Souza Azevedo, G.M., Barbosa, A.O., Bradaschia, F. and Limongi, L.R., Global Hybrid Maximum Power Point Tracking for PV Modules Based on a Double-Diode Model // IEEE Access, 2021, Vol. 9, pp. 158440–158455, doi: 10.1109/ACCESS.2021.3131096 25. Motahhir, S., Abdelilah, C., Abdelaziz, G., Aziz D. Development of a Low-cost PV System using an improved INC algorithm and a PV panel Proteus model // Journal of Cleaner Production, 2018, doi: 10.1016/j.jclepro.2018.08.246 26. Mensia, N., Talbi, M. & Bouaicha, M. New Adaptive PI Controller for Photovoltaic Systems // Iran J. Sci. Technol. Trans. Electr. Eng., 2024, 48, pp. 1099–1110, https://doi.org/10.1007/s40998–024–00734‑w 27. Éric Schiller “ le pompage photovoltaïque”. Manuel de cours, Université d’Ottawa, Canada, https://www.pseau.org/outils/ouvrages/iepf_pompage_photovoltaique.pdf. 28. https://www.newport.com/medias/sys_master/images/images/h92/h23/8797062955038/Calibrating-Photovoltaic-Cells.pdf.
Keywords
Recommended articles
New Photovoltaic Module Model And A Comparative Study of MPPT Control Techniques Based On Neural Networks Light & Engineering Vol. 29, No. 1
Creating GUI under LabVIEW for Parameters Identification of a Photovoltaic Module L&E, Vol.31, No.6, 2023
Modelling of Novel Architecture of PV Generator Based on a-Si: H/c-Si Materials and Using Solar Tracker for Partial Shading L&E, Vol.30, No.5, 2022