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

  • Abdelghani HarragEmail author
  • Sabir Messalti
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 62)


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.


MPPT Perturb and observe Incremental conductance Stateflow 


  1. 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)CrossRefGoogle Scholar
  2. 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)CrossRefGoogle Scholar
  3. 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)CrossRefGoogle Scholar
  4. 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). Scholar
  5. 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
  6. 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)CrossRefGoogle Scholar
  7. 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)CrossRefGoogle Scholar
  8. 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)CrossRefGoogle Scholar
  9. 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
  10. 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
  11. 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). Scholar
  12. Putria, R.I., Wibowo, S., Rifai, M.: Maximum power point tracking for photovoltaic using incremental conductance method. Energy Procedia 68, 22–30 (2015)CrossRefGoogle Scholar
  13. Rekioua, D., Matagne, E.: Optimization of Photovoltaic Power Systems: Modelization, Simulation and Control. Springer, London (2012)CrossRefGoogle Scholar
  14. Renewable Energy in Europe Markets: Trends and Technologies - European Renewable Energy Council (EREC). Earthscan, London (2010)CrossRefGoogle Scholar
  15. 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)CrossRefGoogle Scholar
  16. 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)CrossRefGoogle Scholar
  17. Shockley, W.: The theory of p-n junctions in semiconductors and p-n junction transistors. Bell Syst. Tech. J. 28, 435–489 (1949)CrossRefGoogle Scholar
  18. 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)CrossRefGoogle Scholar
  19. 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

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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Optics and Precision Mechanics InstituteFerhat Abbas University - Setif 1SetifAlgeria
  2. 2.CCNS Laboratory, Department of Electronics, Faculty of TechnologyFerhat Abbas University - Setif 1SetifAlgeria
  3. 3.Electrical Engineering Department, Faculty of TechnologyMohamed Boudiaf UniversityM’SilaAlgeria

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