Skip to main content

Advertisement

Log in

Designing a novel MPPT algorithm based on the extraterrestrial irradiance for photovoltaic energy generation systems and testing under partial shade conditions

  • Published:
Journal of Computational Electronics Aims and scope Submit manuscript

Abstract

Photovoltaic (PV) panels are widely used in the generation of electricity from solar radiation. To improve the efficiency of PV energy generation systems, the PV panels should operate at around the maximum power point (MPP), which can be provided by maximum power point tracking (MPPT) algorithms. In the present study, we designed a novel MPPT algorithm that has less complexity and low computation load than existing traditional MPPT algorithms and that starts to track near the MPP. The proposed algorithm takes extraterrestrial irradiances into account when defining operation points close to MPP. The MPP parameters were computed using datasheet information of the PV panel to achieve a low computation load. The proposed algorithm was tested for efficiency and performance under different scenarios, including partial shade conditions, against the Perturb & Observe (P&O) algorithm. The test results showed that the proposed algorithm outperformed the P&O algorithm.

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

Access this article

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

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

Similar content being viewed by others

Data availability

Enquiries about data availability should be directed to the authors.

Abbreviations

DC:

Direct current

HC:

Hill climbing

INC:

Incremental conductance

MPP:

Maximum power point

MPPT:

Maximum power point tracking

P&O:

Perturb and observe

PV:

Photovoltaic

P:

Power

V:

Voltage

\(E_{n}\) :

Eccentricity correction factor

\(E_{h}\) :

Extraterrestrial irradiance on a horizontal plane

\(F_{f}\) :

Fill factor of the PV panel

\(G_{h}\) :

Global irradiance on a horizontal plane

\(h\) :

Time of day.

\(I_{{{\text{mpp}}}}\) :

PV current at the maximum power point

\(I_{sc} (\xi )\) :

Relative short circuit current

\(P_{{{\text{mpp}}}}\) :

PV power at the maximum power point

\(P_{\max }\) :

Typical maximum power of PV panel

\(P_{{{\text{tip}}}}\) :

Typical power of the PV panel

\(V_{{{\text{mpp}}}}\) :

PV voltage at the maximum power point

\(V_{oc} (\xi )\) :

Relative open-circuit voltage

\(\Delta \eta\) :

Relative efficiency of the PV panel

\(\xi\) :

Relative radiation intensity

\(\theta_{z}\) :

Zenith angle

\(\omega\) :

Hour angle of the sun

\(\delta\) :

Declination of the sun angle

\(\phi\) :

Latitude angle

References

  1. Bhatnagar, P., Nema, R.: Maximum power point tracking control techniques: state-of-the-art in photovoltaic applications. Renew. Sustain. Energy Rev. 23, 224–241 (2013)

    Article  Google Scholar 

  2. Eshram, T., Chapman, P.L.: Comparison of photovoltaic array maximum power point techniques. IEEE Trans. Energy Convers. 22(2), 439–449 (2007)

    Article  Google Scholar 

  3. Subudhi, B., Pradhan, R.: A comparative study on maximum power point tracking techniques for photovoltaic power systems. IEEE Trans. Sustain. Energy 4(1), 89–98 (2012)

    Article  Google Scholar 

  4. Chen, W., Shen, H., Shu, B., Qin, H., Deng, T.: Evaluation of performance of MPPT devices in PV systems with storage batteries. Renew. Energy 32(9), 1611–1622 (2007)

    Article  Google Scholar 

  5. Sera, D., Mathe, L., Kerekes, T., Spataru, S.V., Teodorescu, R.: On the perturb-and-observe and incremental conductance MPPT methods for PV systems. IEEE J. Photovolt. 3(3), 1070–1078 (2013)

    Article  Google Scholar 

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

    Article  Google Scholar 

  7. Abdalla, I., Zhang, L., Corda, J.: Voltage-hold perturbation & observation maximum power point tracking algorithm (VH-P&O MPPT) for improved tracking over the transient atmospheric changes. In: Proceedings of the 2011 14th European Conference on Power Electronics and Applications, pp. 1−10. IEEE (2011)

  8. Kircioglu, O., Yildiz, A.B.: Large-signal analysis based on nonlinear algebraic equations for an integrated photovoltaic module−converter system. J. Comput. Electron. 19(2), 866–874 (2020)

    Article  Google Scholar 

  9. 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)

    Article  Google Scholar 

  10. Killi, M., Samanta, S.: Modified perturb and observe MPPT algorithm for drift avoidance in photovoltaic systems. IEEE Trans. Industr. Electron. 62(9), 5549–5559 (2015)

    Article  Google Scholar 

  11. Ahmed, J., Salam, Z.: An improved perturb and observe (P&O) maximum power point tracking (MPPT) algorithm for higher efficiency. Appl. Energy 150, 97–108 (2015)

    Article  Google Scholar 

  12. Alajmi, B.N., Ahmed, K.H., Finney, S.J., Williams, B.W.: Fuzzy-logic-control approach of a modified hill-climbing method for maximum power point in microgrid standalone photovoltaic system. IEEE Trans. Power Electron. 26(4), 1022–1030 (2010)

    Article  Google Scholar 

  13. Kotti, R., Shireen, W.: Efficient MPPT control for PV systems adaptive to fast changing irradiation and partial shading conditions. Sol. Energy 114, 397–407 (2015)

    Article  Google Scholar 

  14. Boztepe, M., Guinjoan, F., Velasco-Quesada, G., Silvestre, S., Chouder, A., Karatepe, E.: Global MPPT scheme for photovoltaic string inverters based on restricted voltage window search algorithm. IEEE Trans. Industr. Electron. 61(7), 3302–3312 (2013)

    Article  Google Scholar 

  15. Lian, K., Jhang, J., Tian, I.: A maximum power point tracking method based on perturb-and-observe combined with particle swarm optimization. IEEE J. Photovolt. 4(2), 626–633 (2014)

    Article  Google Scholar 

  16. Jain, S., Agarwal, V.: A new algorithm for rapid tracking of approximate maximum power point in photovoltaic systems. IEEE Power Electron. Lett. 2(1), 16–19 (2004)

    Article  Google Scholar 

  17. Duru, H.T.: A maximum power tracking algorithm based on impp= f (pmax) function for matching passive and active loads to a photovoltaic generator. Sol. Energy 80(7), 812–822 (2006)

    Article  Google Scholar 

  18. Akarslan, E., Hocaoglu, F.O., Edizkan, R.: Novel short term solar irradiance forecasting models. Renew. Energy 123, 58–66 (2018)

    Article  Google Scholar 

  19. Frank, C., Wahl, S., Keller, J., Pospichal, B., Hense, A., Crewell, S.: A novel data set for solar energy applications based on high resolution reanalysis. Sol. Energy 164, 12–24 (2018)

    Article  Google Scholar 

  20. Inacio, C.O., Borges, C.L.T.: Stochastic model for generation of high-resolution irradiance data and estimation of power output of photovoltaic plants. IEEE Trans. Sustain. Energy 9(2), 952–960 (2017)

    Article  Google Scholar 

  21. Irmak, S., Howell, T., Allen, R., Payero, J., Martin, D.: Standardized asce penman-monteith: Impact of sum-of-hourly vs. 24-hour timestep computations at reference weather station sites. Trans. ASAE 48(3), 1063–1077 (2005)

    Article  Google Scholar 

Download references

Acknowledgements

This study is supported by the Afyon Kocatepe University Scientific Research Projects Council under the 15.FEN.BİL.30 project.

Funding

The authors have not disclosed any funding.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Said Mahmut Çınar.

Ethics declarations

Conflict of interest

The authors have not disclosed any competing interests.

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

Çınar, S.M., Bakım, S. & Hocaoglu, F.O. Designing a novel MPPT algorithm based on the extraterrestrial irradiance for photovoltaic energy generation systems and testing under partial shade conditions. J Comput Electron 21, 841–851 (2022). https://doi.org/10.1007/s10825-022-01906-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10825-022-01906-9

Keywords

Navigation