Bypass diode and photovoltaic module failure analysis of 1.5kW solar PV array

References

• Balasubramanian, I. R., Ganesan, S. I., and Chilakapati, N. 2014. Impact of partial shading on the output power of PV systems under partial shading conditions. IET Power Electronics 7:657–66.
   Web of Science ®Google Scholar
• Bhagavathy, S., Pearsall, N., Putrus, G., and Walker, S. 2019. Performance of UK distribution networks with single-phase PV systems under fault. Electrical Power and Energy Systems 113:713–25. doi:10.1016/j.ijepes.2019.05.077.
   Web of Science ®Google Scholar
• Chen, Z., Han, F., Wu L., Yu J., Cheng, S., Lin, P., and Chen, H. 2018. Random forest based intelligent fault diagnosis for PV arrays using array voltage and string currents. Energy Conversion and Management 178:250–64. doi:10.1016/j.enconman.2018.10.040.
   Web of Science ®Google Scholar
• Chine, W., Mellit, A., Pavan, A. M., and Kalogirou, S. A. 2014. Fault detection method for grid-connected photovoltaic plants. Renewable Energy 66:99e110. doi:10.1016/j.renene.2013.11.073.
   Web of Science ®Google Scholar
• Das, S., Hazra, A., and Basu, M. 2018. Metaheuristic optimization-based fault diagnosis strategy for solar photovoltaic systems under non-uniform irradiance. Renewable Energy S0960-1481 (17):31016–19.
   Google Scholar
• Dhimish, M., and Holmes, V. 2016. Fault detection algorithm for grid-connected photovoltaic plants. Solar Energy 137:236–45. doi:10.1016/j.solener.2016.08.021.
   Web of Science ®Google Scholar
• Dhimish, M., Holmes, V., and Dales, M. 2017. Parallel fault detection algorithm for grid-connected photovoltaic plants. Renewable Energy 113:94e111. doi:10.1016/j.renene.2017.05.084.
   Web of Science ®Google Scholar
• Dhimish, M., Member, IEEE, and Chen Z., Member, IEEE. 2019. Novel open-circuit photovoltaic bypass diode fault detection algorithm. IEEE Journal of Photovoltaics 9:1819–27.
   Web of Science ®Google Scholar
• Dhimish, M., Member, IEEE, Mather, P., and Holmes, V., Member, IEEE. 2019. Novel photovoltaic hot-spotting fault detection algorithm. IEEE Transactions ON Device and Materials Reliability 19 (2):378–86, June.
   Web of Science ®Google Scholar
• Dhoke, A., Sharma, R., and Saha, T. K. 2019. An approach for fault detection and location in solar PV systems. Solar Energy 194:197–208. doi:10.1016/j.solener.2019.10.052.
   Web of Science ®Google Scholar
• Fadhel, S., Delpha, C., Diallo, D., Bahri, I., Migan, A, Trabelsi, M., and Mimouni, M. F. 2019. PV shading fault detection and classification based on I-V curve using principal component analysis: Application to isolated PV system. Solar Energy 179:1–10. doi:10.1016/j.solener.2018.12.048.
   Web of Science ®Google Scholar
• Hanson, A. J., Deline, C. A., Member, IEEE, MacAlpine, S. M., Stauth, J. T., Member, IEEE, and Sullivan C. R., Senior Member, IEEE. 2014. Partial-shading assessment of photovoltaic installations via module-level monitoring. IEEE Journal of Photovoltaics 4 (6):1618–24, November. doi: 10.1109/JPHOTOV.2014.2351623.
   Web of Science ®Google Scholar
• Hu, Y., Member, IEEE, Cao, W., Senior Member, IEEE, Ma, J., Finney, S., and Li, D. 2014. Identifying PV module mismatch faults by a thermography-based temperature distribution analysis. IEEE Transactions on Device and Materials Reliability 14:951–60.
   Web of Science ®Google Scholar
• Liu, S., Dong, L., Liao, X., Cao, X., Wang, X., and Wang, B. 2019. Application of the variational mode decomposition-based time and time frequency domain analysis on series DC arc fault detection of photovoltaic arrays. IEEE Access 7:126177–90. doi:10.1109/Access.2019.2938979.
   Web of Science ®Google Scholar
• Ma, J., Member, IEEE, Pan, X., Man, K. L., Li, X., Wen, H., Member, IEEE, and Tiew, T. O, Member, IEEE. 2017. Detection and assessment of partial shading scenarios on photovoltaic strings. IEEE Transactions on Industry Applications 6 (1):6279–89, January.
   Google Scholar
• Mellit, A., Tina, G. M., and Kalogirou, S. A. 2018. Fault detection and diagnosis methods for photovoltaic systems: A review. Renewable and Sustainable Energy Reviews 91:1–17. doi:10.1016/j.rser.2018.03.062.
   Web of Science ®Google Scholar
• Palmer, D., Gottschalg, R., and Betts, T. 2018. The future scope of large-scale solar in the UK: Site suitability and target analysis. Renewable Energy 91:1e11.
   Google Scholar
• Pillai, D. S., and Rajasekar, N. 2018. A comprehensive review on protection challenges and fault diagnosis in PV systems. Renewable and Sustainable Energy Reviews 91:18–40. doi:10.1016/j.rser.2018.03.082.
   Web of Science ®Google Scholar
• Pillai, D. S., Ram, J. P., Rajasekar, N., Mahmud, A., Yang Y., and Blaabjerg, F. 2019. Extended analysis on line-line and line-ground faults in PV arrays and a compatibility study on latest NEC protection standards. Energy Conversion and Management 196:988–1001. doi:10.1016/j.enconman.2019.06.042.
   Web of Science ®Google Scholar
• Platon, R., Martel, J., Woodruff N., and Chau, T. Y. 2015. Online fault detection in PV systems. IEEE Transactions on Sustainable Energy 6:1200–7.
   Web of Science ®Google Scholar
• Ramli, M. Z., and Salam, Z., Member, IEEE. 2014. A simple energy recovery scheme to harvest the energy from shaded photovoltaic modules during partial shading. IEEE Transactions on Power Electronics 29:6458–71.
   Web of Science ®Google Scholar
• Rani, B. I., Member, IEEE, Ilango, G. S., Nagamani, C., Member, IEEE. 2013. Enhanced power generation from PV array under partial shading conditions by shade dispersion using Su Do Ku configuration. IEEE Transactions on Sustainable Energy 4 (3):594–601, July.
   Web of Science ®Google Scholar
• Ray, P. K., Mohanty, A., Panigrahi, B. K., and Rout, P. K. 2018. Modified wavelet transform based fault analysis in a solar photovoltaic system. Optik 168:754–63. doi:10.1016/j.ijleo.2018.03.131.
   Web of Science ®Google Scholar
• Yılmaz, A., and Bayrak, G. 2019. A real-time UWT-based intelligent fault detection method for PV-based microgrids. Electric Power Systems Research 177:105984. doi:10.1016/j.epsr.2019.105984.
   Web of Science ®Google Scholar