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This paper reviews various faults that exist in large solar Photovoltaic (PV) systems. The faults are reviewed in their various classes based on the location and structure. Conventional solutions for fault detection and various research work in PV system monitoring and fault detection are reviewed. It is obvious that PV module level monitoring exhibit advantages over array or string monitoring. Therefore, the paper proposes the use of Long Range (LoRa) Wireless Sensor Networks (WSN) for PV module level monitoring and fault diagnosis. LoRa was proposed for this application due to the advantages it has over other wireless technologies which include long range of data transfer, low cost, low power consumption and multi sensor connection capabilities.

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References

  1. S. Madeti and S. Singh, "A comprehensive study on different types of faults and detection techniques for solar photovoltaic system", Solar Energy, vol. 158, pp. 161-185, June 2017.
     Google Scholar
  2. V. Kongphet, A. Migan-Dubois, C. Delpha, D. Diallo and J. Lechenadec, "Photovoltaic Fault Detection and Diagnosis: Which Level of Granularity for PV Modeling?," Presented at 2020 Prognostics and Health Management Conference (PHM-Besan?on), Besancon, France, May 4-7.
     Google Scholar
  3. M. K?ntges, S. Kurtz, C. Packard, U. Jahn, K. Berger, K. Kato, Kazuhilo, T. Friesen, H. Liu, I. Van, J. Wohlgemuth, D. Miller, M. Kempe, P. Hacke, F. Reil, N. Bogdanski, W. Herrmann, C. Buerhop, G. Razongles, and G. Friesen,?. Review of Failures of Photovoltaic Modules? January 2014.
     Google Scholar
  4. S. Madeti and S. Singh, "Online modular level fault detection algorithm for grid-tied and off-grid PV systems", Solar Energy, vol. 157, pp. 349-364, November 2017.
     Google Scholar
  5. M. Munoz, M. Alonso-Garc?a, N. Vela and F. Chenlo, "Early degradation of silicon PV modules and guaranty conditions", Solar Energy, vol. 85, no. 9, pp. 2264-2274, September 2011.
     Google Scholar
  6. A. Houssein, N. Heraud, I. Souleiman and G. Pellet, "Monitoring and fault diagnosis of photovoltaic panels", Presented at the 2010 IEEE International Energy Conference, Manama, Bahrain, December 18 -22, 2010.
     Google Scholar
  7. M. Sabbaghpur Arani and M. Hejazi, "The Comprehensive Study of Electrical Faults in PV Arrays", Journal of Electrical and Computer Engineering, vol. 2016, pp. 1-10, December 2016.
     Google Scholar
  8. T. Takashima, J. Yamaguchi and M. Ishida, "Fault detection by signal response in PV module strings," Presented at the 33rd IEEE Photovoltaic Specialists Conference, San Diego, CA, USA, May 11 ? 16 2008.
     Google Scholar
  9. P. Lin, Y. Lin, Z. Chen, L. Wu, L. Chen and S. Cheng, "A Density Peak-Based Clustering Approach for Fault Diagnosis of Photovoltaic Arrays", International Journal of Photoenergy, vol. 2017, pp. 1-14, March 2017.
     Google Scholar
  10. M. Benghanem and A. Maafi, "Data acquisition system for photovoltaic systems performance monitoring," IEEE Transactions on Instrumentation and Measurement, vol. 47, no. 1, pp. 30-33, Feb. 1998
     Google Scholar
  11. W. Chine, A. Mellit, A. Pavan and S. Kalogirou, "Fault detection method for grid-connected photovoltaic plants", Renewable Energy, vol. 66, pp. 99-110, June 2014.
     Google Scholar
  12. A. Chouder and s. Silvestre, "Automatic supervision and fault detection of PV systems based on power losses analysis", Energy Conversion and Management, vol. 51, no. 11, pp. 1929-1937, October 2010.
     Google Scholar
  13. Y. Yagi, H. Kishi, R. Hagihara, T. Tanaka, S. Kozuma, T. Ishida, M. Waki, M. Tanaka and S. Kiyama, "Diagnostic technology and an expert system for photovoltaic systems using the learning method", Solar Energy Materials and Solar Cells, vol. 75, no. 3-4, pp. 655-663, 2003.
     Google Scholar
  14. Z. Li, Y. Wang, D. Zhou and C. Wu, "An Intelligent Method for Fault Diagnosis in Photovoltaic Array", Communications in Computer and Information Science, pp. 10-16, 2012.
     Google Scholar
  15. "Monitoring Solar Panel Efficiency. Available: https://www.solaredge.com/products/pv-monitoring/ [Accessed: 30- August- 2020].
     Google Scholar
  16. K. Chao, P. Chen, M. Wang and C. Chen, "An Intelligent Fault Detection Method of a Photovoltaic Module Array Using Wireless Sensor Networks", International Journal of Distributed Sensor Networks, vol. 10, no. 5, p. 540147, May 15, 2014
     Google Scholar
  17. S. H. Pramono, S. N. Sari and E. Maulana, "Internet-based monitoring and protection on PV smart grid system," Presented at the 2017 International Conference on Sustainable Information Engineering and Technology (SIET), Malang, November 24 ? 25 2017.
     Google Scholar
  18. S. Karthik, M. Mahalakshmi, R. Mahitha and S. Meena, "IoT Based Solar Panel Fault Monitoring and Control", International Journal of Information and Computing Science, vol. 6, no. 3, pp. 238-243, March 2019.
     Google Scholar
  19. S. Ayesh, P, Ramesh and S. Ramakrishnan, Design of wireless sensor network for monitoring the performance of photovoltaic panel. 1-6. October 2017.
     Google Scholar
  20. M. Hariprabhu and K. Sundararaju, "IoT based Fault detection in Solar Panel using Arduino UNO with Wi-Fi Module ESP 8266", International Journal of Recent Technology and Engineering (IJRTE), vol. 8, no. 4, pp. 2630-2633, November 2019.
     Google Scholar
  21. A. Lazzaretti, C. Costa, M. Rodrigues, G. Yamada, G. Lexinoski, G. Moritz, E. Oroski, R. Goes, R. Linhares, P. Stadzisz, J. Omori and R. Santos, "A Monitoring System for Online Fault Detection and Classification in Photovoltaic Plants", Sensors, vol. 20, no. 17, p. 4688, August 2020.
     Google Scholar
  22. T. Ameloot, P. Van Torre and H. Rogier, "A Compact Low-Power LoRa IoT Sensor Node with Extended Dynamic Range for Channel Measurements", Sensors, vol. 18, no. 7, p. 2137, July 2018.
     Google Scholar
  23. A. Augustin, J. Yi, T. Clausen and W. Townsley, "A Study of LoRa: Long Range & Low Power Networks for the Internet of Things", Sensors, vol. 16, no. 9, p. 1466, September 2016.
     Google Scholar
  24. A. Springer, W. Gugler, M. Huemer, L. Reindl, C. C. W. Ruppel and R. Weigel, "Spread spectrum communications using chirp signals," Presented at IEEE/AFCEA EUROCOMM 2000. Information Systems for Enhanced Public Safety and Security, Munich, Germany, 2000.
     Google Scholar
  25. C. Ndukwe, M. Tariq Iqbal, X. Liang, J. Khan and L. Aghenta, "LoRa-based communication system for data transfer in microgrids" AIMS Electronics and Electrical Engineering, vol. 4, no. 3, pp. 303-325, September 2020.
     Google Scholar


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