Skip to main content
SpringerLink
Log in

Design, simulation, and hardware implementation of novel optimum operating point tracker of PV system using adaptive step size

  • ORIGINAL ARTICLE
  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

Abstract

In this paper, a novel maximum power point tracking (MPPT) strategy of photovoltaic system has been proposed and investigated. The suggested method is based on modified variable step-size perturbation and observation P&O strategy, which it can overcome several drawbacks and limitations of previous developed MPPT methods especially oscillations around the MPP, accuracy, and the convergence speed under rapidly changing atmospheric conditions. To demonstrate the efficiency of the proposed method, both simulation model and experimental prototype have been developed and tested effectively using photovoltaic system based on Solarex MSX-60 panel and forward converter controlled by dsPIC30F2010 controller. Obtained results demonstrate that the proposed adaptive step-length perturbation and observation P&O strategy can offer many benefits compared to conventional P&O MPPT method and other methods developed previously in terms of low ripple, low overshoot, and low response time. The proposed adaptive step-size MPPT improves drastically the performances in static mode (oscillation reduction ratio around 75.00%) as well as in dynamic mode (convergence time reduction ratio around 91.67%) improving by the way the transferred available power.

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

Similar content being viewed by others

References

  1. Harrag A, Messalti S (2018) How fuzzy logic can improve PEM fuel cell MPPT performances? Int J Hydrog Energy 43(1):537–550

    Article  Google Scholar 

  2. Kim IS, Kim MB, Youn MJ (2006) New maximum power point tracker using sliding-mode observer for estimation of solar array current in the grid-connected photovoltaic system. IEEE Trans Ind Electron 53(4):1027–1035

    Article  Google Scholar 

  3. IEA (2018) Solar energy https://www.iea.org/topics/renewables/solar/. Retrieved the 31.10.2018 from Solar

  4. Bulbul S, Ertugrul G, Arli F (2018) Investigation of usage potentials of global energy systems. Int Adv Res Eng J 2(1):58–67

  5. Yuksel AN, Türkboyları EY (2018) Use of solar panels in green-house soil disinfection, Int Adv Res Eng J 2(2):195–199

  6. Dunnill S, Morrison D, Brugnetti I, Colla M, Valente A, Bikas H, Papakostas N (2014) Reconfigurable automated island for (dis)assembly of a variety of silicon solar cell geometries for specialist low power and CPV applications, EU PVSEC, 22–26 September, Amsterdam, The Netherlands

  7. Mei Q, Shan M, Liu L, Guerrero JM (2011) A novel improved variable step-size incremental-resistance MPPT method for PV systems. IEEE Trans Ind Electron 58(6):2427–2434

    Article  Google Scholar 

  8. Dunnill S, Brugnetti I, Colla M, Valente A, Bikas H, Papakostas N (2015) Flexible automated island for (dis)assembly of a variety of silicon solar cell geometries for specialist solar products, (WIRN 2015), 25th Italian workshop on neural networks, 20–22 May, Salerno, Italy Available Online

  9. Femia N, Petrone G, Spagnuolo G, Vitelli M (2005) Optimization of perturb and observe maximum power point tracking method. IEEE Trans Power Electron 20(4):963–973

    Article  Google Scholar 

  10. Zhang C, Zhao D (2009) MPPT with asymmetric fuzzy control for photovoltaic system, IEEE 4th Conference on Industrial Electronics and Applications ICIEA, Xi’an, China pp. 2180–2183

  11. Ishaque K, Salam Z, Amjad M, Mekhilef S An improved particle swarm optimization (PSO)–based MPPT for PV with reduced steady-state oscillation. IEEE Trans Power Electron 27(8):3627–3638

  12. Messalti S, Harrag A, Loukriz A 2015 A new neural networks MPPT controller for PV systems, 2015 6th International Renewable Energy Congress (IREC)

  13. Harrag A, Messalti S Variable step size modified P&O MPPT algorithm using GAbased hybrid offline/online PID controller Renewable and Sustainable Energy Reviews 49:1247–1260

  14. Loukriz A, Haddadi M, Messalti S (2015) Simulation and experimental design of a new advanced variable step size incremental conductance MPPT algorithm for PV systems ISA Trans 1–9

  15. Kattingal S, Vigneshkumar V, Sankar P, Simon SP, Rao Nayak PS, Palani S (2016) Development of an improved P&O algorithm assisted through a colony of foraging ants for MPPT in PV system. IEEE Trans Ind Inf 12(1)

  16. Mohanty S, Subudhi B, Ray PK (2016) A new MPPT design using grey wolf optimization technique for photovoltaic system under partial shading conditions. IEEE Trans Sustain Energy 7(1):181–188

    Article  Google Scholar 

  17. Montoya DG, Ramos-Paja CA, Giral R (2016) Improved design of sliding-mode controllers based on the requirements of MPPT techniques. IEEE Trans Power Electron 31(1):235–247

    Article  Google Scholar 

  18. Hua CC, Fang YH, Chen WT (2016) Hybrid maximum power point tracking method with variable step size for photovoltaic systems. IET Renew Power Gener 10(2):127–132

    Article  Google Scholar 

  19. Bounechba H, Bouzid A, Snani H, Lashab A (2016) Real time simulation of MPPT algorithms for PV energy system. Electr Power Energy Syst 83:67–78

    Article  Google Scholar 

  20. Masmoudi F, Ben Salem F, Derbel N (2016) Single and double diode models for conventional mono-crystalline solar cell with extraction of internal parameters, 13th International Multi-Conference on Systems, Signals & Devices (SSD). https://doi.org/10.1109/SSD.2016.7473725

  21. Sally JD, Sally P (2007) Pythagorean triples. Roots to research: a vertical development of mathematical problems. American Mathematical Society Bookstore, Providence

    Book  MATH  Google Scholar 

  22. Mohammed SA, Song C, Ahmed E, Maja H, Yan J, Frank M, Fengfeng T (2013) A high-power-density dc–dc converter for distributed PV architectures. IEEE J Photovoltaics 3(2):791–798

    Article  Google Scholar 

  23. Li W, Fan L, Zhao Y, He X, Xu D, Wu B (2012) High-step-up and high-efficiency fuel-cell power-generation system with active­clamp flyback-forward converter. IEEE Trans Ind Electron 59(1):599–610

    Article  Google Scholar 

  24. Veerachary M (2011) Fourth-order buck converter for maximum power point tracking applications. IEEE Trans Aerosp and Electron Syst 47:896–911

    Article  Google Scholar 

  25. Olalla C, Deline C, Maksimovic D (2014) Performance of mismatched PV systems with sub-module integrated converters. IEEE J Photovoltaics 4(1):396–404

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. ENP Polytechnic School, El-Harrach, Algeria

    Abdelhamid Loukriz & Sabir Messalti

  2. Electrical Engineering Department, Faculty of Technology, Msila University, Msila, Algeria

    Abdelghani Harrag

  3. CCNS Laboratory, Electronics Department, Faculty of Technology, Ferhat Abbas University, Setif, Algeria

    Abdelghani Harrag

Authors
  1. Abdelhamid Loukriz
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Sabir Messalti
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Abdelghani Harrag
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Sabir Messalti.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Loukriz, A., Messalti, S. & Harrag, A. Design, simulation, and hardware implementation of novel optimum operating point tracker of PV system using adaptive step size. Int J Adv Manuf Technol 101, 1671–1680 (2019). https://doi.org/10.1007/s00170-018-2977-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-018-2977-7

Keywords

Search

Navigation