Journal of Power Electronics

The Korean Institute of Power Electronics (전력전자학회)
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Hybrid maximum power point tracking control method for photovoltaic power generation systems

  • Yun Zhang (School of Electrical and Information Engineering, Tianjin University) ;
  • Haisen Wang (School of Electrical and Information Engineering, Tianjin University) ;
  • Xinshan Zhu (School of Electrical and Information Engineering, Tianjin University)
  • Received : 2023.01.07
  • Accepted : 2023.05.30
  • Published : 2023.10.20
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Abstract

Conventional maximum power point tracking (MPPT) algorithms in photovoltaic power generation systems usually have difficulty in balancing the tracking rate and accuracy. To solve this issue, a hybrid MPPT control method is proposed in this paper. By injecting a high-frequency sinusoidal ripple into the basic duty cycle to produce a sinusoidal fluctuation of the PV output power, and the phase difference between the duty cycle and the power fluctuations provides a reference for tracking the maximum power point (MPP) of the PV power system. At the same time, the proposed hybrid MPPT control method can automatically update the MPP by detecting variations in environmental conditions under a steady operation state. Finally, an experimental platform is built for validation. Experimental results verify that the proposed method has good dynamic and steady-state performances for the MPPT of the PV power generation system.

Keywords

Acknowledgement

This study was funded by National Natural Science Foundation of China, 51977145, Yun Zhang.

References

  1. Stephanie, S., Cara, L., Morgan, S.: The global circular economy for the electric power industry and opportunities for solar photovoltaics. In: IEEE 48th Photovoltaic Specialists Conference (PVSC), Fort Lauderdale, FL, USA, 2021, pp. 1594-1599 (2021)
  2. Du, C.S., Zhang, C.H., Chen, A., Chao, F.D., Xiao, W.R.: Digital control and implementation of photovoltaic high-efficiency soft-switching DC-DC converters. J. Electrotechnol. 26(08), 57-63 (2011)
  3. Fethi, M., Fethi, F., Abderrahmen, Z.: Overview and comparatif of maximum power point tracking methods of PV power system. In: IEEE 2nd International Conference on Signal, Control and Communication (SCC), Tunis, Tunisia, 2021, pp. 119-125 (2021)
  4. Zhe, G., Yonghuang, C., Jiaxiang, X.: Analysis of perturbation and observation MPPT algorithm based on fuzzy control. In: 12th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC), Hangzhou, China, 2020, pp. 111-114 (2020)
  5. Xibeng, Z., Don, G., Benfei, W., Abhisek, U.: Hybrid maximum power point tracking method based on iterative learning control and perturb and observe method. IEEE Trans. Sustain. Energy 12(1), 659-670 (2021) https://doi.org/10.1109/TSTE.2020.3015255
  6. Jatin, Y., Sunil, Y., Shah, M. T.: Variable step perturb and observe algorithm for standalone solar photovoltaic (PV) system. In: IEEE 4th International Conference on Computing, Power and Communication Technologies (GUCON), Kuala Lumpur, Malaysia, 2021, pp. 1-6 (2021)
  7. Abdelkhalek, C., Said, E.-B., Younes, A.: A novel MPPT tactic for PV systems with fast-converging speed and zero oscillation. In: 5th International Conference on Renewable Energies for Developing Countries (REDEC), Marrakech, Morocco, 2020, pp. 1-6 (2020)
  8. Steven, L.B., Clarence, W.R., Sanjeev, R.K., Charles, C.: Maximum power point tracking for photovoltaic optimization using ripple-based extremum seeking control. In: IEEE Transactions on Power Electronics, vol. 25, no. 10, pp. 2531-2540 (2010) https://doi.org/10.1109/TPEL.2010.2049747
  9. Marcelo, C.C., Fabricio, B., Aguinaldo, J.N., Gustavo, M.-S.-A., Eduardo, J.B.: Hybrid maximum power point tracking technique for PV modules based on a double-diode model. IEEE Trans. Ind. Elec 68(9), 8169-8181 (2021) https://doi.org/10.1109/TIE.2020.3009592
  10. Shamik, B., Dattu, S.K.P., Sussovon, S., Sukumar, M.: Steady output and fast tracking MPPT (SOFT-MPPT) for P&O and InC algorithms. IEEE Trans Sustain Energy 12(1), 293-302 (2021) https://doi.org/10.1109/TSTE.2020.2991768
  11. Nishant, K., Ikhlaq, H., Bhim, S., Bijaya, P.: Self-adaptive incremental conductance algorithm for swift and ripple free maximum power harvesting from PV array. IEEE Trans. Ind Inform 14(5), 2031-2041 (2018) https://doi.org/10.1109/TII.2017.2765083
  12. Noureddine, A., Jamel, B.S., Lilia, E.A.: Contribution on the combination of artificial neural network and incremental conductance method to MPPT control approach. In: 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET), Hammamet, Tunisia, 2022, pp. 109-114 (2022)
  13. Khazain, M.A., Hidayat, N.M., Burhanudin, K., Abdullah, E.: Boost converter of maximum power point tracking (MPPT) using particle swarm optimization (PSO) method. In: IEEE 12th Control and System Graduate Research Colloquium (ICSGRC), Shah Alam, Malaysia, 2021, pp. 281-286 (2021)
  14. Muhammad, H.Z., Umer, A.K., Noman, M.K.: A sparrow search optimization algorithm based MPPT control of PV system to harvest energy under uniform and non-uniform irradiance. In: International Conference on Emerging Power Technologies (ICEPT), Topi, Pakistan, 2021, pp. 1-6 (2021)
  15. Mariam, A.S., Mostafa, I.M., Mahmoud, A.A.: Enhancing the performance of photovoltaic systems under partial shading conditions using cuttlefish algorithm. In: 8th International Conference on Renewable Energy Research and Applications (ICRERA), Brasov, Romania, 2019, pp. 874-885 (2019)
  16. Manas, B., Satyam, G., Amruta, D.: A novel maximum power point tracking control without steady state oscillations using extremum seeking control algorithm. In: Seventh Indian Control Conference (ICC), Mumbai, India, 2021, pp. 259-264 (2021)