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Development of Hardware for Controlling Abnormal Temperature in PCS of Photovoltaic System

태양광발전시스템의 PCS에서 이상 온도 제어를 위한 하드웨어개발

  • 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 : 2018.12.28
  • Accepted : 2019.02.12
  • Published : 2019.02.28

Abstract

This paper is purposed to develop hardware for controlling abnormal temperature that can occur environment and component itself in PCS. In order to be purpose, the hardware which is four part(sensing, PLC, monitoring and output) keep detecting temperature for critical components of PCS and can control the abnormal temperature. Apply to the hardware, it is selected to PV power generation facilities of 20 kW in Cheong-ju city and measured the data for one year in 2017. Through the temperature data, it is found critical components of four(discharge resistance, DC capacitor, IGBT, DSP board) and entered the setting value for operating the fan. The setting values for operating the fan are up to $130^{\circ}C$ in discharge resistance, $60^{\circ}C$ in DC capacitor, $55^{\circ}C$ in IGBT and DSP board. The hardware is installed at the same PCS(20 kW in Cheong-ju city) in 2018 and the power generation output is analyzed for the five days with the highest atmospheric temperature(Clear day) in July and August in 2017 and 2018 years. Therefore, the power generation output of the PV system with hardware increased up to 4 kWh.

Keywords

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Fig. 1. PV PCS MTBF vs temperature11).

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Fig. 2. Configuration of PV system.

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Fig. 3. Temperature measurement point for components of PCS.

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Fig. 4. Temperature characteristics without the hardware (2017).

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Fig. 5. With temperature sensor for critical components.

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Fig. 6. Hardware device for fault detection of PCS.

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Fig. 7. Design of cooling fans for controlling temperature rise in PCS.

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Fig. 8. Temperature Characteristics with the hardware (2018).

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Fig. 9. Comparison of temperature and generation output for 2017 and 2018.

Table 1. Atmospheric temperature for five-days selected in 2017 and 2018 years

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References

  1. Ministry of Trade, Industry and Energy, The 8th Framework Plan for Power Supply, pp. 48-55, 2017.
  2. D. H. Kim, S. C. Kim, J. S. Park, E. J. Kim and E. S. Kim, "Analysis of Risk Priority Number for Grid-connected Energy Storage System", J. Korean Soc. Saf., Vol. 31, No. 2, pp. 1-8, 2016. https://doi.org/10.14346/JKOSOS.2016.31.2.1
  3. D. H. Kim, S. C. Kim, E S. Kim and Y. H. Park, "Risk Assessment of Energy Storage System Using Event Tree Analysis", J. Korean Soc. Saf., Vol. 31, No. 3, pp.34-41, 2016. https://doi.org/10.14346/JKOSOS.2016.31.3.34
  4. G. Zini, C. Mangeant and J. Merten, "Reliability of Large-scale Gridconnected Photovoltaic Systems", Renewable Energy, Vol. 36, Issue 9, pp. 2334-2340, 2011. https://doi.org/10.1016/j.renene.2011.01.036
  5. M. A. Eltawil and Z. Zhao, "Grid-connected Photovoltaic Power Systems: Technical and Potential Problems-A Review", Renewable and Sustainable Energy Reviews, Vol. 14, Issue 1, pp. 112-129, 2010. https://doi.org/10.1016/j.rser.2009.07.015
  6. A. Pregelj, M. Begovic, A. Rohatgi and A. Ristow, "Estimation of PV System Reliability Parameters," in Proc. 17th Eur. Photovolt. Sol. Energy Conf. Exhib., Munich, Germany, Oct. 22-26, pp. 558-561, 2001.
  7. N. G. Dhere, "Reliability of PV Modules and Balance of System Components", in Proc. 31st IEEE Photovolt. Spec. Conf., Jan. 3-7, pp. 1570-1576, 2005.
  8. D. H. Kim, S. C. Kim and Y. B. Kim, "Thermal Characteristic and Failure Modes and Effects Analysis for Components of Photovoltaic PCS", J. Korean Soc. Saf., Vol. 33, No. 4, pp. 1-8, 2018. https://doi.org/10.14346/JKOSOS.2018.33.4.1
  9. C. Rodriguez and G. A. J. Amaratunga, “Long-Lifetime Power Inverter for Photovoltaic AC Modules,” IEEE Transactions on Industrial Electronics, Vol. 55, No. 7, pp. 2593-2601, 2008. https://doi.org/10.1109/TIE.2008.922401
  10. IEEE Std 493-2007 - IEEE Recommended Practice for the Design of Reliable Industrial and Commercial Power Systems.
  11. C. Marcantonio, C. Lorenzo and S. Enrico, "Thermal analysis of Critical components in Photovoltaic Inverter" 2012 IEEE International Instrumentation and Measurement Technology Conference Proceedings, DOI: 10.1109/I2MTC.2012.6229533.
  12. IEC TR 62380. Reliability Data Handbook- Universal Model for Reliability Prediction of Electronics Components, PCBs and equipment (emerged from UTEC 80-810 or RDF 2000); 2004.
  13. Z. J. Ma and S. Thomas, "Reliability and Maintainability in Photovoltaic Inverter Design," Reliability and Maintainability Symposium (RAMS), 2011 Proceedings-Annual, pp.1-5, Jan. 24-27, 2011.
  14. S. H. Lee, H. D. Kim and C. B. Cho, "Study on the Variation Characteristic of the Photo-Volatic Power Generation due to Regional Meteorological Elements", J. Environmental Science International, Vol. 23, No. 11, pp. 1943-1951, 2014. https://doi.org/10.5322/JESI.2014.23.11.1943