Skip to main content

Innovative Stateflow Models Assessment of P&O and IC PV MPPTs

  • Conference paper
  • First Online:
Renewable Energy for Smart and Sustainable Cities (ICAIRES 2018)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 62))

  • 1158 Accesses

Abstract

In this paper, P&O and IC MPPT controllers have been proposed and investigated using the Matlab Stateflow models. The proposed MPPT controllers have been tested and validated using Matlab/Simulink models under different scenario tests including irradiation change, temperature change and step size change. Results and analysis show that the proposed stateflow models produce the correct output power regarding all considered scenarios tests.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Babaa, S.E., Armstrong, M., Pickert, V.: Overview of maximum power point tracking control methods for PV systems. J. Power Energy Eng. 2, 59–72 (2014)

    Article  Google Scholar 

  • Femia, G.N., Petrone, G., Spagnuolo, G., Vitelli, M.: Optimization of perturb and observe maximum power point tracking method. IEEE Trans. Power Electron. 20, 963–973 (2005)

    Article  Google Scholar 

  • Harrag, A., Messalti, S.: Variable step size modified P&O MPPT algorithm using GA-based hybrid offline/online PID controller. Renew. Sustain. Energy Rev. 49, 1247–1260 (2015)

    Article  Google Scholar 

  • Harrag, A., Messalti, S.: Improving PV performances using fuzzy-based MPPT. In: Hatti, M. (ed.) ICAIRES 2017. LNNS, vol. 35, pp. 236–244. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-73192-6_24

    Chapter  Google Scholar 

  • IRENA_Roadmap: http://www.irena.org/DocumentDownloads/Publications/IRENA_REmap_2016_edition_report.pdf (2016)

  • Isaldo, B.A., Amiri, P.: Improved variable step size incremental conductance MPPT method with high convergence speed for PV systems. J. Eng. Sci. Technol. 11, 516–528 (2016)

    Google Scholar 

  • Ishaque, K., Salam, Z., Lauss, G.: The performance of perturb and observe and incremental conductance maximum power point tracking method under dynamic weather conditions. Appl. Energy 119, 228–236 (2015)

    Article  Google Scholar 

  • Kok Soon, T., Mekhilef, S.: A fast-converging MPPT technique for photovoltaic system under fast varying solar irradiation and load resistance. IEEE Trans. Ind. Inform. 11(1), 176–186 (2015)

    Article  Google Scholar 

  • Messalti, S., Harrag, A., Loukriz, A.: A New variable step size neural networks MPPT controller: review, simulation and hardware implementation. Renew. Sustain. Energy Rev. 68, 221–233 (2017)

    Article  Google Scholar 

  • Mirbagheri, S.Z., Aldeen, M., Saha, S.: A PSO-based MPPT re-initialised by incremental conductance method for a standalone PV system. In: 2015 23rd Mediterranean Conference on Control and Automation (MED), Torremolinos, Spain, 16–19 June, pp. 293–303 (2015)

    Google Scholar 

  • Noguchi, T., Togashi, S., Nakamoto, R.: Short-current pulse based adaptive maximum power point tracking for photovoltaic power generation system. In: IEEE International Symposium on Industrial Electronics, pp. 157–162 (2000)

    Google Scholar 

  • Oshaba, A.S., Ali, E.S., Abd Elazim, S.M.: PI controller design using ABC algorithm for MPPT of PV system supplying DC motor pump load. Neural Comput. Appl. 28, 353–364 (2015). https://doi.org/10.1007/s00521-015-2067-9

    Article  Google Scholar 

  • Putria, R.I., Wibowo, S., Rifai, M.: Maximum power point tracking for photovoltaic using incremental conductance method. Energy Procedia 68, 22–30 (2015)

    Article  Google Scholar 

  • Rekioua, D., Matagne, E.: Optimization of Photovoltaic Power Systems: Modelization, Simulation and Control. Springer, London (2012)

    Book  Google Scholar 

  • Renewable Energy in Europe Markets: Trends and Technologies - European Renewable Energy Council (EREC). Earthscan, London (2010)

    Book  Google Scholar 

  • Seyedmahmoudian, M., Rahmani, R., Mekhilef, S., Maung Than Oo, A., Stojcevski, A., Kok Soon, T., Safdari Ghandhari, A.: Simulation and hardware implementation of new maximum power point tracking technique for partially shaded PV system using hybrid DEPSO method,”. IEEE Trans. Sustain. Energy 6, 850–862 (2015)

    Article  Google Scholar 

  • Sher, H.A., Murtaza, A.G., Noman, A., Addoweesh, K.E.: A new sensorless hybrid MPPT algorithm based on fractional short-circuit current measurement and P&O MPPT. IEEE Trans. Sustain. Energy 6(4), 1426–1434 (2015)

    Article  Google Scholar 

  • Shockley, W.: The theory of p-n junctions in semiconductors and p-n junction transistors. Bell Syst. Tech. J. 28, 435–489 (1949)

    Article  Google Scholar 

  • Tey, K.S.S., Mekhilef, S.: Modified incremental conductance MPPT algorithm to mitigate inaccurate responses under fast-changing solar irradiance level. Sol. Energy 101, 333–342 (2014)

    Article  Google Scholar 

  • Xiao, W., Dunford, W.G.: A modified adaptive hill climbing MPPT method for photovoltaic power systems. In: Proceedings on 35th Annual IEEE Power Electronic Specialists Conference 1957–1963 (2004)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Abdelghani Harrag .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Harrag, A., Messalti, S. (2019). Innovative Stateflow Models Assessment of P&O and IC PV MPPTs. In: Hatti, M. (eds) Renewable Energy for Smart and Sustainable Cities. ICAIRES 2018. Lecture Notes in Networks and Systems, vol 62. Springer, Cham. https://doi.org/10.1007/978-3-030-04789-4_40

Download citation

Publish with us

Policies and ethics