Assessment of two MPPT algorithms for a standalone photovoltaic system with variable weather condition

  • Authors

    • Claude Bertin Nzoundja Fapi PhD Student
    • Abderrezak Badji PhD Student
    • Hyacinthe Tchakounte PhD Student
    • Gerald Tsayo Bantio PhD Student
    • Martin Kamta Professor
    • Patrice Wira Professor
    2019-07-14
    https://doi.org/10.14419/ijet.v7i4.24460
  • PV System, Fuzzy Logic Controller, P&O Method, Weather Condition, Numerical Simulation, Experimental Data.

  • The electrical power of a photovoltaic (PV) system decreases considerably when weather conditions are variable. In this context, the authors experimentally study on the optimization of the electrical power efficiency of a photovoltaic module using the Fuzzy Logic Control (FLC) method. The main purpose of this work is to extract the maximum energy from a solar panel using the Maximum Power Point Tracker (MPPT) algorithm. This algorithm acts on the DC-DC boost duty cycle of the solar photovoltaic system, depending on weather conditions (temperature and irradiance). To achieve this optimization, firstly, this work presents an experimental implementation of the proposed Fuzzy Logic Control method of a stand-alone photovoltaic system. Secondly, a comparative study between the proposed Fuzzy Logic Control approach and the conventional Perturb and Observe (P&O) MPPT method using Matlab/Simulink is presented. Experimental as far as numerical results based on recorded climatic data from Ngaoundere (in Cameroon) and Mulhouse (in France) cities, show that the FLC approach has several advantages over the conventional P&O MPPT method such as: fat response, robustness, minimal effect of climate fluctuations on the electrical power produced.

     

     

  • References

    1. [1] I. Houssamo, F. Locment and M. Sechilariu, “Maximum power tracking for photovoltaic power system: development and experimental comparison of two algorithmsâ€, Renewable Energy, Vol. 35, No.10, (2010), pp. 2381-2387, https://doi.org/10.1016/j.renene.2010.04.006.

      [2] A. R. Reisi, M. H. Moradi and S. Jamas, “Classification and comparison of maximum power point tracking techniques for photovoltaic system: A reviewâ€, Renewable and Sustainable Energy Reviews, Vol. 19, (2013), pp. 433-443, https://doi.org/10.1016/j.rser.2012.11.052.

      [3] B. Subudhi and R. R. Pradhan, “A comparative study on maximum power point tracking techniques for photovoltaic power systemsâ€, IEEE Transactions Sustainable Energy, Vol. 4, No. 1, (2013) pp. 89-97, https://doi.org/10.1109/TSTE.2012.2202294.

      [4] A. A. Abdulrazzaq and A. H. Ali, “Evaluating the Performance and Efficiencyof MPPT Algorithm for PV Systemsâ€, International Journal of Engineering & Technology, Vol. 7, No 4.17, (2018), pp. 66-70, https://doi.org/10.14419/ijet.v7i4.13508.

      [5] A. Blorfan, G. Sturtzer, D. Flieller, P. Wira and J. Mercklé, “An adaptive Control Algotithm for Maximum Power Point Traking for Photovoltaic Energy Conversion Systems – A comparative Studyâ€, International Review of Electrical Engineering (IREE), Vol 9, No. 3, (2014), pp. 559-565.

      [6] R.Verma, B. Bhargav and P. S. Varma, “Comparison of Different MPPT Algorithms for PV Systemâ€, International Journal of Engineering & Technology, Vol. 7, No 1.8, (2018), pp. 158-163, https://doi.org/10.14419/ijet.v7i2.31.13406.

      [7] A. Dandoussou, M. Kamta, L. Bitjoka, P. Wira and A. Kuitché, “Comparative study of the reliability of MPPT algorithms foe the crystalline silicon photovoltaic modules in variable weather conditionsâ€, Journal of Electrical Systems and Information Technology, Vol. 4, (2017) pp. 213-224, https://doi.org/10.1016/j.jesit.2016.08.008.

      [8] A. Mohapatra, B. Nayak, P. Das and K. B. Mohanty, “A review on MPPT techniques of PV system under partial shading conditionâ€, Renewable and Sustainable Energy Reviews, Vol. 80, (2017), pp. 854–867, https://doi.org/10.1016/j.rser.2017.05.083.

      [9] M. Danandeh and S. M. Mousavi, “Comparative and comprehensive review of maximum power point tracking methods for PV cellsâ€, Renewable and Sustainable Energy Reviews, Vol. 82, (2018), pp. 2743-2767, https://doi.org/10.1016/j.rser.2017.10.009.

      [10] S. Saravanan and N. Ramesh Babu, “Maximum power point tracking algorithms for photovoltaic system - A reviewâ€, Renewable and Sustainable Energy Reviews, Vol. 57, (2016), pp. 192-204, https://doi.org/10.1016/j.rser.2015.12.105.

      [11] M. Jayakumar, V. Vanitha, V. Jaisuriya, M. Karthikeyan, G. Daniel and T. Vignesh, “Maximum power point tracking of a solar PV array using single stage three phase inverterâ€, International Journal of Engineering & Technology, Vol. 7, No 2.31, (2018), pp. 97-100, https://doi.org/10.14419/ijet.v7i2.31.13406.

      [12] C. B. Yuan and L. Y. Shin, “New digital-controlled technique for battery charger with constant current and voltage control without current feedbackâ€, IEEE Transactions on Industrial Electronics, Vol. 59, No. 3, (2012), pp. 1545-1553, https://doi.org/10.1109/TIE.2011.2167115.

      [13] A. E. S. A. Nafeh, F. H. Fahmy, and E. M. Abou El-Zahab, “Evaluation of a proper controller performance for maximum power point tracking of a standalone PV systemâ€, Solar Energy Materials and Solar Cells, Vol. 75, No. 3, (2003), pp. 723-728, https://doi.org/10.1016/S0927-0248(02)00138-1.

      [14] I. E. Batzelis, “Simple PV performance equations theoretically well founded on the single-diode modelâ€, IEEE Journal of Photovoltaics, Vol. 7, No. 5, (2017) pp. 1400-1409, https://doi.org/10.1109/JPHOTOV.2017.2711431.

      [15] M. Rupesh and V. Shivalingappa, “Comparative analysis of P&O and incremental conductance method for PV systemâ€, International Journal of Engineering & Technology, Vol. 7, No 3.29, (2018), pp. 519-523.

      [16] M. Gang, X. Guchao, C. Yixi and J. Rong, “Voltage stability control method of electric springs based on adaptive PI controllerâ€, Electrical Power and Energy Systems, Vol. 95, (2018), pp. 202-212, https://doi.org/10.1016/j.ijepes.2017.08.029.

      [17] U. Yilmaz, A. Kircay and S. Borekci, “PV system fuzzy logic MPPT method and PI control as a charge controllerâ€, Renewable and Sustainable Energy Reviews, Vol. 81, (2018), pp. 994-1001, https://doi.org/10.1016/j.rser.2017.08.048.

      [18] S. Tang, Y. Sun and Y. Chen, “An enhanced MPPT method combining fractional-order and fuzzy logic controlâ€, IEEE Journal of Photovoltaics, Vol. 7, (2017), No. 2, pp. 640-650,. https://doi.org/10.1109/JPHOTOV.2017.2649600.

      [19] L. Suganthi, S. Iniyan, Anand and A. Samuel, “Applications of fuzzy logic in renewable energy systems–A reviewâ€, Renewable and Sustainable Energy Reviews, Vol. 48, (2015), pp. 585-607, https://doi.org/10.1016/j.rser.2015.04.037.

      [20] C. B. Nzoundja Fapi, P. Wira and M. Kamta, “A Fuzzy Logic MPPT Algorithm with a PI Controller for a Standalone PV System under Variable Weather and Load Conditionsâ€, IEEE International Conference on Applied Smart Systems (ICASS), Medea, Algeria, 24-25 Nov. 2018. https://doi.org/10.1109/ICASS.2018.8652047.

      [21] N. Priyadarshil, A. Kr. Sharma, A. Kr. Bhoi, S. N. Ahmad, F. Azam and S. Priyam, “MatLab/simulink based fault analysis of PV grid with intelligent fuzzy logic control MPPTâ€, International Journal of Engineering & Technology, Vol. 7, No 2.12, (2018), pp. 198-204, https://doi.org/10.14419/ijet.v7i2.12.11319.

      [22] N. Karami, N. Moubayed and R. Outbib, “General Review and classification of different MPPT Techniquesâ€, Renewable and Sustainable Energy Reviews, Vol. 68, (2017), pp. 1-18, https://doi.org/10.1016/j.rser.2016.09.132.

      [23] J. M. Enrique, E. Durán, M. Sidrach-de-Cardona and J. M. Andújar, “Theoretical assessment of the maximum power point tracking efficiency of photovoltaic facilities with different converter topologiesâ€, Solar Energy, Vol. 81, Issue 1, (2007), pp. 31-38, https://doi.org/10.1016/j.solener.2006.06.006.

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    Bertin Nzoundja Fapi, C., Badji, A., Tchakounte, H., Tsayo Bantio, G., Kamta, M., & Wira, P. (2019). Assessment of two MPPT algorithms for a standalone photovoltaic system with variable weather condition. International Journal of Engineering & Technology, 7(4), 6790-6796. https://doi.org/10.14419/ijet.v7i4.24460