Skip to main content
SpringerLink
Log in

Real-Time Implementation of Interleaved Soft-Switching Boost Converter Connected to Stand-Alone Photovoltaic System using Adaptive Fuzzy MPPT

  • Original Contribution
  • Published:
Journal of The Institution of Engineers (India): Series B Aims and scope Submit manuscript

Abstract

In the present paper, adaptive fuzzy maximum power point tracking is employed as a means to generate the corresponding gating signals of an interleaved soft-switching boost converter (ISSBC) connected to a photovoltaic system. It is common knowledge that the output characteristics of a photovoltaic cell are nonlinear and its output power fluctuates largely with variations in radiation and temperature; thus, effectively its efficiency is very low, i.e., below 50%. The efficiency is improved by using ISSBC, and simultaneously, losses due to switching are minimized by the adoption of a resonant (soft) switching technique. The next concern lies with this being a tracking MPP, which has been efficiently achieved by incorporating adaptive fuzzy MPPT which is better as compared to the published articles. The proposed MPPT increases the system efficiency as well as drastically reduces the cost of fabrication. A 1.2 kW prototype of the above-defined model is considered for analysis. Determination of the viability of each mode of operation of the aforementioned photovoltaic power generation system is assessed meticulously in the MATLAB 2017 software. In addition to simulation, digital simulation in real time (Opal-RT) is performed in the laboratory to measure the accuracy and potentiality of the respective model verifying the results.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18
Fig. 19
Fig. 20

Similar content being viewed by others

References

  1. M.G. Villalva, J.R. Gazoli, E.R. Filho, Modeling and Circuit Based Simulation of Photovoltaic Array. Braz. J. Power Electron. 14(01), 35–45 (2009)

    Google Scholar 

  2. M.G. Villalva, J.R. Gazoli, E.R. Filho, Comprehensive approach to modeling and simulation of photovoltaic arrays. IEEE Trans. Power Electron. 24(5), 1198–1208 (2009)

    Google Scholar 

  3. Y. Jiang, J. A. Qahouq, I. Batarseh, Improved solar PV cell Matlab simulation model and comparison. in Proceedings of 2010 IEEE International Symposium on Circuits and Systems, pp. 2770–2773 (2010)

  4. J. Liu, R. Hou, Solar cell simulation model for photovoltaic power generation system. Int. J. Renew. Energy Res. 4(1), 49–53 (2014)

    Google Scholar 

  5. N. Femia et al., Optimization of perturbing and observe maximum power point tracking method. IEEE Trans. Power Electron. 20(4), 963–973 (2005)

    Google Scholar 

  6. S. Selvan, G. Kumar, Comparative study of perturb & observe and fuzzy logic control based MPPT algorithms. Int. J. Adv. Eng. Technol. 7, 649–1656 (2015)

    Google Scholar 

  7. B. Subudhi, R. Pradhan, A comparative study on maximum power point tracking techniques for photovoltaic power systems. IEEE Trans. Sustain. Energy 4(1), 89–98 (2013)

    Google Scholar 

  8. V. Dabra, K.K. Paliwal, P. Sharma, N. Kumar, Optimization of the photovoltaic power system: a comparative study. Prot. Control Modern Power Syst. 2(1), 1–11 (2017)

    Google Scholar 

  9. B. Chitti Babu, T. Cermak, S. Gurjar, Z. M. Leonowicz and L. Piegari, Analysis of mathematical modeling of PV module with MPPT algorithm. in 15th International Conference on Environment and Electrical Engineering (EEEIC), pp. 1625–1630 (2015)

  10. G. Chujia, Z. Aimin, Z. Hang, Z. Chao, B. Yunfei, Fuzzy MPPT method for PV array in power system. in The 27th Chinese Control and Decision Conference, pp. 5085–5089 (2015)

  11. N. Patcharaprakiti, S. Premrudeepreechacharn, Maximum power point tracking using adaptive fuzzy logic control for grid-connected photovoltaic system. in IEEE Power Engineering Society Winter Meeting. Conference Proceedings, vol. 1.3 N, pp. 372–377 (2005)

  12. B. Bendib, F. Krim, H. Belmili, M.F. Almi, S. Boulouma, Advanced fuzzy MPPT controller for a stand-alone PV system. Energy Procedia 50(2014), 383–392 (2014)

    Google Scholar 

  13. A. Keshtkar, S. Arzanpou, An adaptive fuzzy logic system for residential energy management in smart grid environments. Appl. Energy 186, 68–81 (2017)

    Google Scholar 

  14. D.Y. Jung, Y.H. Ji, S.H. Park, Y.C. Jung, C.Y. Won, Interleaved softswitching boost converter for photovoltaic power generation system. IEEE Trans. Power Electron. 26(4), 1137–1145 (2011)

    Google Scholar 

  15. Y. Chen, S. Shiu, R. Liang, Analysis and design of a zero-voltage-switching and zero-current-switching interleaved boost converter. IEEE Trans. Power Electron. 27(1), 161–173 (2012)

    Google Scholar 

  16. J.Y. Kim, Y.C. Jung, S.W. Lee, T.W. Lee, C.Y. Won, Power loss analysis of interleaved soft switching boost converter for single—phase PV-PCS. J. Power Electron. 10(4), 335–341 (2010)

    Google Scholar 

  17. D. Y. Jung, Y. H. Ji, J. H. Kim, C. Y. Won, Y. C. Jung, Ripple analysis of interleaved soft switching boost converter for photovoltaic applications. in The 2010 International Power Electronics Conference, pp. 699–702 (2010)

  18. M. Mohapatra, A.K. Panda, B.P. Panigrahi, P. Priyadarshini, B. ChittiBabu, Comparative analysis of single switch soft-switching boost converter and interleaved soft-switching boost converter. J. Low Power Electron. 13(1), 83–93 (2017)

    Google Scholar 

  19. RT-LAB Professional [online]. Available: http://www.opal-rt.com/product/rt-lab-professional

  20. P. Venne, J. N. Paquin, J. Bélanger, The what, where and why of real-time simulation, in Proc. PES General Meeting, 2010, pp. 37–49

  21. M. Suresh, A.K. Pandaand, J. Prattipati, Review of real-time simulator and the steps involved for implementation of a model from MATLAB/SIMULINK to Real-Time. J. Inst. Eng. (India) Ser. B 96, 179–196 (2014)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Electrical Engineering, IGIT, Sarang, India

    M. Mohapatra & B. P. Panigrahi

  2. Department of Electrical Engineering, National Institute of Technology, Rourkela, India

    A. K. Panda

Authors
  1. M. Mohapatra
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. A. K. Panda
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. B. P. Panigrahi
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to M. Mohapatra.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Mohapatra, M., Panda, A.K. & Panigrahi, B.P. Real-Time Implementation of Interleaved Soft-Switching Boost Converter Connected to Stand-Alone Photovoltaic System using Adaptive Fuzzy MPPT. J. Inst. Eng. India Ser. B 101, 397–409 (2020). https://doi.org/10.1007/s40031-020-00456-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40031-020-00456-7

Keywords

Search

Navigation