A Practical performance verification of AFLC based MPPT for standalone PV power system under varying weather condi-tion

  • Authors

    • Neeraj Priyadarshi
    • Amarjeet Kr. Sharma
    • Akash Kumar Bhoi
    • S N. Ahmad
    • Farooque Azam
    • S Priyam
    2018-04-03
    https://doi.org/10.14419/ijet.v7i2.12.11319
  • AFLC, FLC, MPPT, Perturb Observe (P and O), Zeta Buck-Boost Converter.

  • For amelioration of tracking efficiency, the Maximum power point trackers (MPPT) are very important for photovoltaic (PV) generation. For this purpose here a reformed adaptive fuzzy logic control (FLC) MPPT tracker has been presented to enhance its overall power efficiency and gives rapid transient response under changing weather conditions. For voltage regulation at load bus, the zeta buck-boost converter has been taken for its least voltage ripple. MATLAB/SIMULINK simulation environment and dSPACE DS1104 real time control board is used to test the proposed adaptive fuzzy logic controller based MPPT in variable irradiance level and ambient tempera-ture. The tracking efficiency in this presented method is analyzed in comparison with standard fuzzy logic controller (FLC) and perturb and observe (P and O) MPPT algorithms. The modified AFLC controller gives better tracking efficiency and precise response compared to conventional fuzzy logic controller and P and O MPPT algorithms. Theoretical and experimental results obtained are demonstrated for improved functioning of the system.

     

     

  • References

    1. [1] A.C. Souza, F.C. Melo, T.L. Oliveira and C.E. Tavares, “Performance Analysis of the Computational Implementation of a Simplified PV Model and MPPT Algorithm,†IEEE Latin America transactions, vol. 14, no. 2, pp.792-798, Feb (2016).

      [2] M. Alam, J. Jana and H. Saha, “Switched Boost Inverter Applicable for Solar Photovoltaic System Based Micro-Grid,†2nd International Conference on Control, Instrumentation, Energy & Communication (CIEC), pp. 422-426, (2016)

      [3] N. Priyadarshi, V. Kumar, K. Yadav and M. Vardia, “An Experimental Study on Zeta buck-boost converter for Application in PV system†Handbook of distributed generation (Springer) chapter DOI 10.1007/978-3-319-51343-0_13

      [4] V.V.S.P. Kumar and B.G. Fernandes, “Minimization of Inter-Module Leakage Current in Cascaded H-Bridge Multilevel Inverters for Grid Connected Solar PV Applications,†pp. 2673-2678, (2016).

      [5] A.Maiti, K. Mukherjee and P. Syam, “Design, Modeling and Software Implementation of a Current-Perturbed Maximum Power Point Tracking Control in a DC-DC Boost Converter for Grid-Connected Solar Photovoltaic Applications,†IEEE First International Conference on Control, Measurement and Instrumentation (CMI), pp. 36-41 (2016).

      [6] S. Sajadian and R. Ahmadi, “Model Predictive Based Maximum Power Point Tracking for Grid-tied Photovoltaic Applications Using a Z-Source Inverter,†IEEE Transactions on Power Electronics (2016).

      [7] M.B. Shadmand, M. Mosa, R.S. Balog and H.A. Rub, “Maximum Power Point Tracking of Grid Connected Photovoltaic System Employing Model Predictive Control,†pp. 3067-3074, IEEE (2015).

      [8] N. Priyadarshi, A. Anand, A.K. Sharma, F. Azam, V.K. Singh, and R.K. Sinha, “An Experimental Implementation and Testing of GA based Maximum Power Point Tracking for PV System under Varying Ambient Conditions Using dSPACE DS 1104 Controllerâ€, International Journal Of Renewable Energy Research, Vol.7, No.1, pp. 255-265, 2017.

      [9] M.A. El-Sayed, and S. Leeb, “Fuzzy logic based maximum power point tracking using boost converter for solar photovoltaic system in Kuwait,†International Conference on Renewable Energies and Power Quality, Spain, vol. 14, no. 13, April (2015).

      [10] A.R. Reisi and M.H. Moradi, “Classification and comparison of maximum power point tracking techniques of photovoltaic system: Reviewâ€, Renewable and Sustainable Energy Reviews. vol. 19, pp. 433-443, (2013).

      [11] M.N. Uddin and R.S. Rebeiro, “Online efficiency optimization of a fuzzy-logic-controller-based IPMSM drive,†IEEE Transaction of Industrial Electronics, vol. 47, no. 2, pp. 1043-1050, (2011).

      [12] M.A. Hannana, Z.A. Ghania, A. Mohameda and M.N. Uddinc, “Real-Time Testing of a Fuzzy Logic Controller Based Grid-Connected Photovoltaic Inverter System,†pp. 4-8, (2014).

      [13] A.E. Khateb, N.A. Rahim, J. Selvaraj and M.A. Uddin, “Fuzzy Logic Controller Based SEPIC Converter for Maximum Power Point Tracking,†pp. 99, (2014).

      [14] N. Shah and R. Chudamani, “Single-Stage Grid Interactive PV System Using Novel Fuzzy Logic Based MPPT with Active and Reactive Power Control,â€7th IEEE Conference on Industrial Electronics and Applications (ICIEA), pp. 1667-1672, (2012).

  • Downloads

  • How to Cite

    Priyadarshi, N., Kr. Sharma, A., Kumar Bhoi, A., N. Ahmad, S., Azam, F., & Priyam, S. (2018). A Practical performance verification of AFLC based MPPT for standalone PV power system under varying weather condi-tion. International Journal of Engineering & Technology, 7(2.12), 338-343. https://doi.org/10.14419/ijet.v7i2.12.11319