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2016 Vol.36, Issue 5 Preview Page
The Monitoring System of Photovoltaic Module using Fault Diagnosis Sensor

태양전지 모듈 고장진단센서를 이용한모니터링 시스템

Yuna Park1,3
,
Gihwan Kang1
,
Youngchul Ju1
,
Soohyun Kim1
,
Sukwhan Ko1*
,
Gilsoo Jang2*
박 유나1,3
,
강 기환1
,
주 영철1
,
김 수현1
,
고 석환1*
,
장 길수2*
1Korea Institute of Energy Research Solar Energy Department.
2Professor of Electricity and Electronic Engineering, Korea University.
Graduate school master course of Electricity and Electronic Engineering, Korea University.
1한국에너지기술연구원 태양광연구실
2고려대학교 전기전자공학과
고려대학교 일반대학원 전기전자공학과
*교신저자. *Corresponding Author. 
October 2016. pp. 91-100
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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
Zigbee
Monitoring System
Fault diagnosis algorithm
Photovoltaic module
Shading
Junction-box

키워드
지그비
모니터링 시스템
고장진단 알고리즘
태양전지모듈
음영
정션박스
References
1
SunShot, Photovoltaic System Pricing Tren ds: Historical, Recent, and Near-Term Projections 2013 Edition, NREL, 2013.
2
Bruno Andò, 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.
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.
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.
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7
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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.
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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.
12
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Information
  • Publisher :Korean Solar Energy Society
  • Publisher(Ko) :한국태양에너지학회
  • Journal Title :Journal of the Korean Solar Energy Society
  • Journal Title(Ko) :한국태양에너지학회 논문집
  • Volume : 36
  • No :5
  • Pages :91-100
  • Received Date : 2016-09-27
  • Accepted Date : 2016-10-18
  • DOI :https://doi.org/10.7836/kses.2016.36.5.091
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