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A Maximum Power Point Tracking Using P&O Method for System Photovoltaic

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Artificial Intelligence, Data Science and Applications (ICAISE 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 837))

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Abstract

This work presents the complete procedure for simulating MPPT (Maximum Power Point Tracking) control, based on the perturbation and observation (P&O) method. A control chain was created between the photovoltaic panel and the load. To do this, we modeled and simulated the system in Matlab/Simulink. The results show that this technique, which is based on the “perturb and observe” algorithm, enables the photovoltaic system to operate optimally.

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References

  1. Yu, G., Jung, Y., Choi, J., Choy, I., Song, J., Kim, G.: A novel two-mode MPPT control algorithm based on comparative study of existing algorithms. In: Proceedings of the Conference Record of the Twenty-Ninth IEEE Photovoltaic Specialists Conference, pp. 1531–1534 (2002)

    Google Scholar 

  2. Koutroulis, E., Kalaitzakis, K., Voulgaris, N.: Development of a microcontroller-based, photovoltaic maximum power point tracking control system. IEEE Trans. Power Electron. 16(1), 46–54 (2001)

    Article  Google Scholar 

  3. Kasa, N., Lida, T., Iwamoto, H.: Maximum power point tracking with capacitor identifier for photovoltaic power system. IEE Proc. Electr. Power Appl. 147(6), 497–502 (2000)

    Article  Google Scholar 

  4. Chomsuwan, K., Prisuwanna, P., Monyakul, V.: Photovoltaic grid-connected inverter using two-switch buck-boost converter. In: Proceedings of the Photovoltaic Specialists Conference, pp. 1527–1530 (2002)

    Google Scholar 

  5. Park, M., Yu, I.-K.: A study on the optimal voltage for MPPT obtained by surface temperature of solar cell. In: Proceedings of the 30th Annual Conference of IEEE Industrial Electronics Society, IECON, vol. 3, pp. 2040–2045 (2004)

    Google Scholar 

  6. Kobayashi, K., Matsuo, H., Sekine, Y.: An excellent operating point tracker of the solarcell power supply system. IEEE Trans. Ind. Electron. 53(2), 495–499 (2006)

    Article  Google Scholar 

  7. Sefa, I., Ozdemir, O.: Experimental study of interleaved MPPT converter for PV systems. In: Proceedings of the Industrial Electronics, IECON, 35th Annual Conference of IEEE, pp. 456–461 (2009)

    Google Scholar 

  8. Salas, V., Olias, E., Lazaro, A., Barrado, A.: New algorithm using only one variable measurement applied to a maximum power point tracker. Sol. Energy Mater. Sol. Cells 87(1–4), 675–684 (2005)

    Article  Google Scholar 

  9. Femia, N., Petrone, G., Spagnuolo, G., Vitelli, M.: Optimization of perturb and observe maximum power point tracking method. IEEE Trans. Power Electron. 20(4), 963–973 (2005)

    Article  Google Scholar 

  10. Park, S.-H., Cha, G.-R., Jung, Y.-C., Won, C.-Y.: Design and application for pv generation system using a soft-switching boost converter with sarc. IEEE Trans. Ind. Electron. 57(2), 515–522 (2010)

    Article  Google Scholar 

  11. Messalti, S., Harrag, A., Loukriz, A.: A new variable step size neural networks MPPT controller: Review, simulation and hardware implementation. Renew. Sustain. Energy Rev. 68(Part 1), 221–233 (2017)

    Article  Google Scholar 

  12. Motahhir, S., El Hammoumi, A., El Ghzizal, A.: The most used MPPT algorithms: review and the suitable low-cost embedded board for each algorithm. J. Clean. Prod. 246, 118983 (2020)

    Article  Google Scholar 

  13. Faranda, R., Leva, S., Maugeri, V.: MPPT techniques for PV systems: energetic and cost comparison. In: Proceedings of the Power and Energy Society, pp. 1–6 (2008)

    Google Scholar 

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Correspondence to Hafid Ben Achour .

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Ben Achour, H., Ziani, S., El Hassouani, Y. (2024). A Maximum Power Point Tracking Using P&O Method for System Photovoltaic. In: Farhaoui, Y., Hussain, A., Saba, T., Taherdoost, H., Verma, A. (eds) Artificial Intelligence, Data Science and Applications. ICAISE 2023. Lecture Notes in Networks and Systems, vol 837. Springer, Cham. https://doi.org/10.1007/978-3-031-48465-0_58

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