Open Access
E3S Web Conf.
Volume 229, 2021
The 3rd International Conference of Computer Science and Renewable Energies (ICCSRE’2020)
Article Number 01044
Number of page(s) 6
Published online 25 January 2021
  1. Ajiwiguna, T.A., Hamonangan, T., Kirom, M.R., 2016. ‘Experimental study of thermal efficiency on plate-fin solar thermal collector’. ARPN Journal of Engineering and Applied Sciences, Vol. 11, No. 2, pp. 809-811. [Google Scholar]
  2. Abdulkadir, M., Samosir, A.S., Yatim, A.H.M., Yusuf, S.T., 2013. ‘A new approach of modeling, simulation of MPPT for photovoltaic system in Simulink model’. ARPN Journal of Engineering and Applied Sciences, Vol. 8, No. 7, pp. 488-494. [Google Scholar]
  3. Petibon, S., 2009. ‘Nouvelles architectures distribuées de gestion et de conversion de l’énergie pour les applications photovoltaiques’. PhD Thesis, University of Toulouse. [Google Scholar]
  4. Belhachat, F., Larbes, C., 2015. ‘Modeling, analysis and comparison of solar photovoltaic array configurations under partial shading conditions’. Solar Energy, Vol. 120, pp. 399-418. [CrossRef] [Google Scholar]
  5. Diaz-Porado, E., Cidras, J., Carrilo, C., 2014. ‘Discrete I-V model for partially shaded PV-arrays’. Solar Energy, Vol. 103, pp. 96-107. [CrossRef] [Google Scholar]
  6. Ramaprabha, R., Mathur, B.L., 2012. ‘A Comprehensive Review and analysis of solar photovoltaic Array Configurations under Partial Shaded Conditions’. International Journal of photoenergy, Vol. 2012, pp. 1-16. [CrossRef] [Google Scholar]
  7. Ishaque, K., Salam, Z., Taheri, H., Syaforuddin, 2011. ‘Modeling and simulation of photovoltaic (PV) system during partial shading based on two-diode model’. Simulation Modelling Practice and Theory, Vol. 19, pp. 1613-1626. [CrossRef] [Google Scholar]
  8. Nguyen, X.H., 2015. ‘Matlab/Simulink based modeling to study effect of partial shadow on solar photovoltaic array’. Environmental Systems Research, Vol. 4, pp. 1-10. [Google Scholar]
  9. Hasan, M.A., Parida, S.K., 2016. ‘An Overview of solar photovoltaic panel modeling based on analytical and experimental viewpoint’. Renewable and Sustainable Energy Reviews, Vol. 60, pp. 75-83. [CrossRef] [Google Scholar]
  10. Koohi-Kamali, S., Rahim, N.A., Mokhlis, H., Tyagi, V.V., 2016. ‘Photovoltaic electricity generator dynamic modeling methods for smart grid applications’. Renewable and Sustainable Energy Reviews, Vol. 57, pp. 131-172. [CrossRef] [Google Scholar]
  11. Jena, D., Ramana, V.V., 2015. ‘Modeling of photovoltaic system for uniform and non-uniform irradiance: A critical review’. Renewable and Sustainable Energy Reviews, Vol. 52, pp. 400-417. [CrossRef] [Google Scholar]
  12. Chin, V.J., Salam, Z., Ishaque, K., 2015. ‘Cell modelling and model parameters estimation techniques for photovoltaic simulator application: A review’. Applied Energy, Vol. 154, pp. 500-519. [CrossRef] [Google Scholar]
  13. Stoyanov, L., 2011. ‘Etude de différentes structures de systems hybrides à sources d’énergie renouvelables’. PhD Thesis, University of Corsica Pasquale Paoli, France. [Google Scholar]
  14. Jones A.D., Underwood, C.P., 2002. ‘A Modeling Method for Building-integrated Photovoltaic Power Supply’. Building Services Engineering Research and Technology, Vol. 23, No. 3, pp. 167-177. [CrossRef] [Google Scholar]
  15. [Google Scholar]
  16. [Google Scholar]
  17. Buddala, S.S., Vemuru, S., Devabhaktuni, V., 2013. ‘Small signal modeling of diode in a parallel module subjected to partial shading’. EIT 2013, IEEE International Conference on Electro/Information Technology, pp. 1-5. [Google Scholar]
  18. Ramaprabha, R., Mathur, B., Murthy, M., Madhumitha, S., 2010. ‘New Configuration of Solar Photo Voltaic Array to Address Partial Shaded Conditions’. 3rd International Conference on Emerging Trends in Engineering and Technology (ICETET), pp. 328-333. [Google Scholar]
  19. Gao, L., Dougal, R.A., Liu, S., Lotova, A.P., 2009. ‘Parallel-Connected Solar PV system to address partial and rapidly fluctuating shadow conditions’. IEEE Transactions on Industrial Electronics, Vol. 56, Issue 5, pp. 1548-1556. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.