Comparative Analysis of DC/DC Converters with MPPT Techniques Based PV System

  • S. Saravanan
  • N. Ramesh BabuEmail author
  • Padmanaban Sanjeevikumar
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 436)


This paper focuses on the comparison of perturb and observe (P&O) and adaptive neuro-fuzzy inference system (ANFIS) based maximum power point tracking to track the optimum maximum power from PV system. This article also points out the performance of the boost converter and modified Single-Ended Primary-Inductor Converter (SEPIC) using above two techniques for PV. P&O and ANFIS techniques are used to generate duty cycle of DC/DC converters. The study is performed by using MATLAB/Simulink with the rating of 200 W PV and it has been observed that the modified SEPIC converter based ANFIS produces superior results compared with classical boost converter.


Maximum power point tracking Adaptive neuro-fuzzy inference system Perturb and observe Photovoltaic Boost converter 


  1. 1.
    Tiwari, R., Ramesh Babu, N.: Recent developments of control strategies for wind energy conversion system. Renew. Sustain. Energy Rev. 66, 268–285 (2016)Google Scholar
  2. 2.
    Saravanan, S., Ramesh Babu, N.: Maximum power point tracking algorithms for photovoltaic system—A review. Renew. Sustain. Energy Rev. 57, 192–204 (2016)Google Scholar
  3. 3.
    Lian, K.L., Jhang, J.H., Tian, I.S.: A maximum power point tracking method based on perturb-and-observe combined with particle swarm optimization. IEEE J. Photovoltaics 4(2), 626–633 (2014)CrossRefGoogle Scholar
  4. 4.
    Lin, C.-H., Huang, C.-H., Du, Y.-C., Chen, J.-L.: Maximum photovoltaic power tracking for PV array using the fractional-order incremental conductance method. Appl. Energy 88(12), 4840–4847 (2011)CrossRefGoogle Scholar
  5. 5.
    Jordehi, A.R.: Maximum power point tracking in photovoltaic (PV) systems: a review of different approaches. Renew. Sustain. Energy Rev. 65, 1127–1138 (2016)Google Scholar
  6. 6.
    Lyden, S., Haque, M.E.: Maximum power point tracking techniques for photovoltaic systems: a comprehensive review and comparative analysis. Renew. Sustain. Energy Rev. 52, 1504–1518 (2015)CrossRefGoogle Scholar
  7. 7.
    Li, W., He, X.: Review of nonisolated high-step-up DC/DC converters in photovoltaic grid-connected applications. IEEE Trans. Power Electron. 58(4), 1239–1250 (2011)Google Scholar
  8. 8.
    Sera, D., Teodorescu, R., Rodriguez, P.: PV panel model based on datasheet values. In: Proc. IEEE. ISIE, pp. 2392–2398 (2007)Google Scholar
  9. 9.
    Villalva, M.G., Gazoli, J.R., Filho, E.R.: Comprehensive approach to modeling and simulation of photovoltaic arrays. IEEE Trans. Power Electron. 24(5), (2009)Google Scholar
  10. 10.
    Abdelsalam, A.K., Massoud, A.M., Ahmed, S., Enjeti, P.N.: High-performance adaptive perturb and observe mppt technique for photovoltaic-based microgrids. IEEE Trans. Power Electron. 26(4), 1010–1021 (2011)CrossRefGoogle Scholar
  11. 11.
    Cheired, F., Mellit, A., Kaliogiru, S.A., Larbas, C.: Intelligent maximum power point trackers for photovoltaic applications using FPGA chip: a comparative study. Sol. Energy 101, 83–99 (2014)CrossRefGoogle Scholar
  12. 12.
    Sanjeevikumar, P., Grandi, G., Blaabjerg, F., Wheeler, P., Siano, P., Hammami, M.: A comprehensive analysis and hardware implementation of control strategies for high output voltage dc-dc boost power converter. Inter. J. of Comput. Intelli. Sys. (IJCIS), Atlantis Press and Taylor and Francis publications, 2 Sept 2016. (Accepted for publication and in Press)Google Scholar
  13. 13.
    Saravanan, S., Ramesh Babu, N.: RBFN based MPPT algorithm for PV system with high step up converter. Energy Convers. Manag. 122, 239–251 (2016)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • S. Saravanan
    • 1
  • N. Ramesh Babu
    • 1
    Email author
  • Padmanaban Sanjeevikumar
    • 2
  1. 1.School of Electrical EngineeringVIT UniversityVelloreIndia
  2. 2.Department of Electrical and Electronics EngineeringUniversity of JohannesburgAuckland Park, JohannesburgSouth Africa

Personalised recommendations