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Thermal Characteristic and Failure Modes and Effects Analysis for Components of Photovoltaic PCS

태양광 발전 PCS 구성부품에 대한 열적특성 및 고장모드영향분석

  • Kim, Doo-Hyun (Department of Safety Engineering, Chungbuk National University) ;
  • Kim, Sung-Chul (Department of Safety Engineering, Chungbuk National University) ;
  • Kim, Yoon-Bok (Korea Polytechnics College Cheongju Campus)
  • Received : 2018.05.30
  • Accepted : 2018.08.06
  • Published : 2018.08.31

Abstract

This paper is analyzed for the thermal characteristics(1 year) of the 6 components(DC breaker, DC filter(including capacitor and discharge resistance), IGBT(Insulated gate bipolar mode transistor), AC filter, AC breaker, etc.) of a photovoltaic power generation-based PCS(Power conditioning system) below 20 kW. Among the modules, the discharge resistance included in the DC filter indicated the highest heat at $125^{\circ}C$, and such heat resulting from the discharge resistance had an influence on the IGBT installed on the rear side the board. Therefore, risk priority through risk priority number(RPN) of FMEA(Failure modes and effects analysis) sheet is conducted for classification into top 10 %. According to thermal characteristics and FMEA, it is necessary to pay attention to not only the in-house defects found in the IGBT, but also the conductive heat caused by the discharge resistance. Since it is possible that animal, dust and others can be accumulated within the PCS, it is possible that the heat resulting from the discharge resistance may cause fire. Accordingly, there are two options that can be used: installing a heat sink while designing the discharge resistance, and designing the discharge resistance in a structure capable of avoiding heat conduction through setting a separation distance between discharge resistance and IGBT. This data can be used as the data for conducting a comparative analysis of abnormal signals in the process of developing a safety device for solar electricity-based photovoltaic power generation systems, as the data for examining the fire accidents caused by each module, and as the field data for setting component management priorities.

Acknowledgement

Supported by : 중소벤처기업부

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