O POJEMNOŚCI OGNIW FOTOWOLTAICZNYCH W WARUNKACH CZĘŚCIOWEGO ZACIEMNIENIA

Azzouzi M. et al.: Modeling of electrical characteristics of photovoltaic cell considering single-diode model. Journal of Clean Energy Technologies 4(6), 2016, 414–420.
DOI: https://doi.org/10.18178/JOCET.2016.4.6.323   Google Scholar

Barro F. I. et al.: On the capacitance of crystalline silicon solar cells in steady state. Turkish Journal of Physics 39(2), 2015, 122–127.
DOI: https://doi.org/10.3906/fiz-1408-3   Google Scholar

Bollipo R. B. et al.: Critical review on PV MPPT techniques: classical, intelligent and optimisation. IET Renewable Power Generation 14(9), 2020, 1433–1452.
  Google Scholar

Bollipo R. B. et al.: Critical review on PV MPPT techniques: classical, intelligent and optimisation. IET Renewable Power Generation 14(9), 2020, 1433–1452.
DOI: https://doi.org/10.1049/iet-rpg.2019.1163   Google Scholar

Bubovich A.: The comparison of different types of DC-DC converters in terms of low-voltage implementation. 5th IEEE Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE), 2017, 1–4 [http://doi.org/10.1109/AIEEE.2017.8270560].
DOI: https://doi.org/10.1109/AIEEE.2017.8270560   Google Scholar

Burgelman M. et al.: Modelling polycrystalline semiconductor solar cells. Thin solid films 361, 2000, 527–532.
DOI: https://doi.org/10.1016/S0040-6090(99)00825-1   Google Scholar

Cozzi L. et al.: World Energy Outlook 2020 – IEA, Organization for Economic Co-operation and Development (OECD) / IEA, Paris, France, 2020 [https://www.iea.org/reports/world-energy-outlook-2020] (available: 10.10.2021).
  Google Scholar

Danoune M. B. et al.: Study and performance analysis of three conventional MPPT algorithms used in photovoltaic applications. International Conference on Communications and Electrical Engineering (ICCEE). IEEE, 2018.
DOI: https://doi.org/10.1109/CCEE.2018.8634524   Google Scholar

Davies L. et al.: Automatic detection and characterization of partial shading in PV system. IEEE 7th World Conference on Photovoltaic Energy Conversion (WCPEC) (A Joint Conference of 45th IEEE PVSC, 28th PVSEC & 34th EU PVSEC), 2018.
DOI: https://doi.org/10.1109/PVSC.2018.8548279   Google Scholar

Fadliondi F. et al.: Bypass diodes for improving solar panel performance. International Journal of Electrical and Computer Engineering 8(5), 2018, 2703.
DOI: https://doi.org/10.11591/ijece.v8i5.pp2703-2708   Google Scholar

Franjo P., Virtič P.: Power production comparison of photovoltaic modules. Przegląd Elektrotechniczny 90(12), 2014, 284–287 [http://doi.org/10.12915/pe.2014.12.72].
  Google Scholar

Humada A. M. et al.: Solar cell parameters extraction based on single and double-diode models: A review. Renewable and Sustainable Energy Reviews 56, 2016, 494–509.
DOI: https://doi.org/10.1016/j.rser.2015.11.051   Google Scholar

Mekki H. et al.: Artificial neural network-based modelling and fault detection of partial shaded photovoltaic modules. Simulation Modelling Practice and Theory 67, 2016, 1–13.
DOI: https://doi.org/10.1016/j.simpat.2016.05.005   Google Scholar

Rhouma M. B. H. et al.: A simple method for extracting the parameters of the PV cell single-diode model. Renewable Energy 113, 2017, 885–894.
DOI: https://doi.org/10.1016/j.renene.2017.06.064   Google Scholar

Shannan N. M. et al.: Single-diode model and two-diode model of PV modules: A comparison. IEEE International Conference on Control System, Computing and Engineering, 2013.
  Google Scholar

Singh S. P. et al.: Performance comparison of MPPT techniques using Cuk converter for photovoltaic energy conversion system. 3rd International Conference on Computational Intelligence & Communication Technology (CICT), 2017, 1–6 [http://doi.org/10.1109/CIACT.2017.7977369].
DOI: https://doi.org/10.1109/CIACT.2017.7977369   Google Scholar