Advertisement

Performance Investigation of Hill-Climbing MPPT Techniques for PV Systems Under Rapidly Changing Environment

  • Vibhu Jately
  • Sudha Arora
Conference paper
First Online:
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 624)

Abstract

There has been a great push for harnessing of solar energy using photovoltaic (PV) systems. For improving the overall efficiency, maximum power point tracking (MPPT) is inevitable in most photovoltaic (PV) systems. The MPPT technique draws out maximum power from a PV module for different meteorological and load conditions. As the environmental conditions fluctuate throughout the day, maximum power point tracker along with the power converter forces the PV panel to deliver maximum power to the load. Performance indices like speed of convergence, accuracy, steady-state losses, implementation complexity, cost determine the overall suitability of a MPPT technique for a particular application. Researchers have proposed different techniques to achieve excellent dynamic response while maintaining low steady-state power loss. Among these techniques, hill-climbing-based algorithms are widely used for commercial and industrial applications. In this paper, a comparative performance analysis of the conventional and modified hill-climbing MPPT algorithms has been done. The simulation model of these techniques have been developed in MATLAB/Simulink environment, and results are presented.

Keywords

Hill-climbing MPPT Perturb and observe Incremental conductance Incremental resistance 
This is a preview of subscription content, log in to check access.

References

  1. 1.
    David J. C. MacKay, Sustainable Energy - Without the Hot Air, first ed., UIT, 2008.Google Scholar
  2. 2.
    Mukund R. Patel, Wind and Solar Power Systems: Design, Analysis, and Operation, second ed., CRC, 2005.Google Scholar
  3. 3.
    C. S. Solanki, Solar Photovoltaics, second ed., PHI, 2012.Google Scholar
  4. 4.
    M. A. S. Masoum, H. Dehbonei, and E. F. Fuchs, “Theoretical and Experimental Analyses of Photovoltaic Systems With Voltage- and Current-Based Maximum Power-Point Tracking,” vol. 17, no. 4, pp. 514–522, 2002.Google Scholar
  5. 5.
    M. Killi and S. Samanta, “Modified Perturb and Observe MPPT Algorithm for Drift Avoidance in Photovoltaic Systems,” vol. 0046, no. c, pp. 1–10, 2015.Google Scholar
  6. 6.
    Y. Levron and D. Shmilovitz, “Maximum Power Point Tracking Employing Sliding Mode Control,” vol. 60, no. 3, pp. 724–732, 2013.Google Scholar
  7. 7.
    T. Esram, S. Member, J. W. Kimball, S. Member, P. T. Krein, P. L. Chapman, S. Member, P. Midya, and S. Member, “Dynamic Maximum Power Point Tracking of Photovoltaic Arrays Using Ripple Correlation Control,” vol. 21, no. 5, pp. 1282–1291, 2006.Google Scholar
  8. 8.
    T. Logeswaran and A. Senthilkumar, “A Review of Maximum Power Point Tracking Algorithms for Photovoltaic Systems under Uniform and Non-Uniform irradiances,” Energy Procedia, vol. 54, pp. 228–235, 2014.Google Scholar
  9. 9.
    A. K. Abdelsalam, A. M. Massoud, S. Ahmed, and P. N. Enjeti, “High-Performance Adaptive Perturb and Observe MPPT Technique for Photovoltaic-Based Microgrids,” vol. 26, no. 4, pp. 1010–1021, 2011.Google Scholar
  10. 10.
    S. K. Kollimalla, S. Member, M. K. Mishra, and S. Member, “Variable Perturbation Size Adaptive P & O MPPT Algorithm for Sudden Changes in Irradiance,” pp. 1–11, 2014.Google Scholar
  11. 11.
    Z. Sukumar and M. Ahteshamul, “Performance evaluation of modified perturb & observe maximum power point tracker for solar PV system,” Int. J. Syst. Assur. Eng. Manag., 2015.Google Scholar
  12. 12.
    S. Rajasekar, S. Member, R. Gupta, S. Member, A. Upadhyay, P. Agarwal, S. Kumar, Y. S. Kumar, and S. Member, “Modified Hill-top Algorithm Based Maximum Power Point Tracking for Solar PV Module,” no. 3, pp. 1801–1806, 2012.Google Scholar
  13. 13.
    D. P. Hohm, “Comparative Study of Maximum Power Point Tracking Algorithms Using an Experimental, Programmable, Maximum Power Point Tracking Test Bed,” 2000.Google Scholar
  14. 14.
    T. Esram, S. Member, and P. L. Chapman, “Comparison of Photovoltaic Array Maximum Power Point Tracking Techniques.” IEEE Trans. Energy Conv. 2007, 22, pp. 439–449.Google Scholar
  15. 15.
    A. Pandey, “High-Performance Algorithms for Drift Avoidance and Fast Tracking in Solar MPPT System,” IEEE Trans. Energy Conv. Vol. 23, No. 2, pp. 681–689, 2008.Google Scholar
  16. 16.
    F. Liu, S. Duan, “A Variable Step Size INC MPPT Method for PV Systems,” pp. 2622–2628, 2008.Google Scholar
  17. 17.
    Q. Mei, “A Novel Improved Variable Step-Size Incremental-Resistance MPPT Method for PV Systems,” pp. 2427–2434, 2011.Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Department of EE, College of TechnologyGBPUA&TPantnagarIndia

Personalised recommendations

Cite paper