Journal of the Korean Solar Energy Society (한국태양에너지학회 논문집)

The Korean Solar Energy Society (한국태양에너지학회)
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The Monitoring System of Photovoltaic Module using Fault Diagnosis Sensor

태양전지 모듈 고장진단센서를 이용한 모니터링 시스템

  • Park, Yuna (Korea Institute of Energy Research Solar Energy Department) ;
  • Kang, Gihwan (Korea Institute of Energy Research Solar Energy Department) ;
  • Ju, Youngchul (Korea Institute of Energy Research Solar Energy Department) ;
  • Kim, Soohyun (Korea Institute of Energy Research Solar Energy Department) ;
  • Ko, Sukwhan (Korea Institute of Energy Research Solar Energy Department) ;
  • Jang, Gilsoo (Electricity a nd Electronic Engineering, Korea University)
  • 박유나 (한국에너지기술연구원 태양광연구실) ;
  • 강기환 (한국에너지기술연구원 태양광연구실) ;
  • 주영철 (한국에너지기술연구원 태양광연구실) ;
  • 김수현 (한국에너지기술연구원 태양광연구실) ;
  • 고석환 (한국에너지기술연구원 태양광연구실) ;
  • 장길수 (고려대학교 전기전자공학과)
  • Received : 2016.09.27
  • Accepted : 2016.10.18
  • Published : 2016.10.30
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Abstract

This paper proposes the PV module fault diagnosis sensor which is applied to Zigbee wireless network, and monitoring system using the developed sensor. It is designed with embedded sensor in junction box. The diagnosis elements for algorithm were voltage and temperature. For that reason, It is able to reduce the price and separate the fault of bypass diode from shading differently from other monitoring systems. This fault diagnosis algorithm verified through the Field-installed operations of PV module.

Keywords

References

  1. SunShot, Photovoltaic System Pricing Tren ds: Historical, Recent, and Near-Term Projections 2013 Edition, NREL, 2013.
  2. Bruno Ando, Senior Member, IEEE, Salvatore Baglio, Fellow, IEEE, Antonio Pistorio, Giuseppe Marco Tina, Member, IEEE, and Cristina Ventura. Sentinella: Smart Monitoring of Photovoltaic Systems at Panel Level, IEEE Transactions on Instrumentation and Measurement, Vol. 64, No. 8, 2015.
  3. Chine, W., Mellit, A., Lughi, V., Malek, A., Sulligoi, G., and Massi Pavan. A., A novel fault diagnosis technique for photovoltaic systems based on artificial neural networks, Renewable Energy 90, pp. 501-512, 2016. https://doi.org/10.1016/j.renene.2016.01.036
  4. Chine, W., Mellit, A., Massi Pavan, A., and Kalogirou, S. A., Fault detection method for grid-connected photovoltaic plants, Renewable Energy 66, pp. 99-110, 2014. https://doi.org/10.1016/j.renene.2013.11.073
  5. Pierluigi Guerriero, Fabio Di Napoli, Gianlorenzo Vallone, Vincenzo d'Alessandro and Santolo Daliento, Monitoring and Diagnostics of PV Plants by a Wireless Self-Powered Sensor for Individual Panels, IEEE Journal of Photovoltaics, Vol. 6, No. 1, 2016. https://doi.org/10.1109/JPHOTOV.2016.2615553
  6. So, J. H., Lim, H. M., Hwang, H. M., Jung, Y. S., Ko, S. W., and Ju, Y. C., Loss Calculation Method of Grid-Connected Photovoltaic System, Journal of the Korean Solar Energy Society, Vol. 33, No. 5, 2013.
  7. Ji, Y. G., Kong, J. H., Kang, G. H., Yu, G. J., Ahn, H. G, and Han, D. Y., The Characteristic of the Performance of the Bypass Diode with Composition Change of the String in Si-PV Module, Journal of Korea Institute of Electronics Engineers, Vol. 50, No. 7, pp. 985-996, 2014.
  8. Je, H. W. and Yang, O., Remote Monitoring System of Photovoltaic Inverter using Zigbee Communication, Journal of Advanced Information Technology and Convergence, Vol. 10, No. 2, 2012.
  9. Cho, H. C. and Sim, K. Y., A Development of Smart Monitoring Technique for Photovoltaic Power Systems, The Transactions of the Korean Institute of Electrical Engineers Vol. 64P, No. 2, pp. 50-56, 2015.
  10. Ji, P. S., Lee, J. P., Lee, D. J., Byeon, S. J., and Lim, J. Y., Monitoring System for Solar Cell of Photovoltaic Power Generation Using Zigbee Technique, Korea Institute of Electronics Engineers, pp. 17-19, 2011.
  11. Shin, W. G., Jung, T. H., Ko, S. W., Ju, Y. C., Chang, H. S., and Kang, G. H., Analysis on thermal & electrical characteristics variation of PV module with damaged bypass diodes, Journal of the Korean Solar Energy Society Vol. 35, No. 4, pp. 67-75, 2015. https://doi.org/10.7836/kses.2015.35.4.067
  12. Ko, S. W., Ju, Y. C., So, J. H., Jung, Y. S., and Kang, G. H., The Charateristics of PV module under the Partial Shading Condition and with a Failure f Bypass Diode with Short, Journal of the Korean Solar Energy Society Vol. 36, No. 4, pp.41-48, 2016. https://doi.org/10.7836/KSES.2016.36.4.041

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  1. Implementation of a Fault Diagnosis System Using Neural Networks for Solar Panel vol.17, pp.4, 2016, https://doi.org/10.1007/s12555-018-0153-3