JCMPSISSN:2582-6085

High-Performance MPPT based on Fast Convergence for PV System-Experimental Validation

Abstract

The connection between a photovoltaic generator (GPV) and a DC load is always a subject of study. The impedance matching between a Photovoltaic (PV) Generator and a Direct current (DC) load is a technological problem that essentially consists in transferring the maximum power from the PV generator to the load. The work presented in this paper concerns the optimization of the photovoltaic conversion chain using advanced algorithms. The study of photovoltaic system components showed that the main element is the conversion chain that must be optimized to extract the maximum power from the GPV generator. Thus, in order to find the maximum power point, the insertion of a matching stage between the GPV and the load is necessary. This step has been realized in our case using a DC / DC boost converter programmed with many algorithms namely Perturbation and observation (P&O), and Intelligent Control (IC), which are traditional algorithms, and the advanced method, which is a fast convergence approach, which is the method proposed in this work.

References

  • Soedibyo. The Comparative Study of Buck_Boost,Cuk, Sepic and Zeta Converter for Power Point Tracking Phootovoltaic Using P & O Method. Proc. of 2015 2nd Int. Conference on Information Technology, Computer and Electrical Engineering (ICITACEE), Indonesia, Oct 16-18th Th, 327–332. 2015.
  • Roy, R. B., Rokonuzzaman, M., Amin, N., Mishu, M. K., Alahakoon, S., Rahman, S., Mithulananthan, N.,Rahman, K. S., Shakeri, M., & Pasupuleti, J. A Comparative Performance Analysis of ANN Algorithms for MPPT Energy Harvesting in Solar PV System. IEEE Access, 9, 102137–102152. (2021).
  • Aicha Djalab, Ali Teta, Mohamed Mounir Rezaoui, Mohamed Boudiaf. Analysis of MPPT Methods:P & O, INC and Fuzzy Logic (CLF) for a PV System. Conference Paper · October 2018
  • Tekeshwar Prasad Sahu, T. v. Dixit. Modelling and Analysis of Perturb & Observe and Incremental Conductance MPPT Algorithm for PV Array Using Cuk Converter. 2014 IEEE Student's Conference on Electrical, Electronics and Computer Science Modelling. (2014).
  • Cedric Cabal. Optimisation énergétique de l’étage d’adaptation électronique dédié à la conversion photovoltaïque. Micro et nanotechnologies / Microélectronique. Université Paul Sabatier - Toulouse III, 2008. Français.
  • Tey, K. S., Mekhilef, S., & Member, S. A Fast-converging MPPT Technique for Photovoltaic System under Fast Varying Solar Irradiation and Load Resistance. 3203(c), 1–11. (2014).
  • Tey, K. S., Mekhilef, S., & Member, S. A Fast-converging MPPT Technique for Photovoltaic System under Fast Varying Solar Irradiation and Load Resistance. 3203(c), (2014). 1–11. https://doi.org/10.1109/TII.2014.2378231
  • Shixun Mo, Qintao Ye, Kunping Jiang, Xiaofeng Mo, Gengyu Shen, “An improved MPPT method for photovoltaic systems based on mayfly optimization algorithm”,Energy Reports, vol: 8, Supplement 5, pp. 141-150, 2022.
  • Kollimalla S.K., Mishra M.K, "A novel adaptive P & O MPPT algorithm considering sudden changes in the irradiance", IEEE Trans Energy Convers, vol. 29, no.3, pp. 602-610, 2014,
  • Kollimalla S.K., Mishra M.K, "A novel adaptive P & O MPPT algorithm considering sudden changes in the irradiance", IEEE Trans Energy Convers, vol. 29, no.3, pp.601-610, 2014