ETRI Journal

  • 제40권5호
  • /
  • Pages.664-676
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  • 2018
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  • 1225-6463(pISSN)
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  • 2233-7326(eISSN)
한국전자통신연구원 (Electronics and Telecommunications Research Institute)
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Implementation of cost-effective wireless photovoltaic monitoring module at panel level

  • Jeong, Jin-Doo (Hyper-connected Communication Research Laboratory, Electronics and Telecommunications Research Institute) ;
  • Han, Jinsoo (Hyper-connected Communication Research Laboratory, Electronics and Telecommunications Research Institute) ;
  • Lee, Il-Woo (Hyper-connected Communication Research Laboratory, Electronics and Telecommunications Research Institute) ;
  • Chong, Jong-Wha (Department of Electronic Engineering, Hanyang University)
  • 투고 : 2017.12.05
  • 심사 : 2018.04.23
  • 발행 : 2018.10.01
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초록

Given the rapidly increasing market penetration of photovoltaic (PV) systems in many fields, including construction and housing, the effective maintenance of PV systems through remote monitoring at the panel level has attracted attention to quickly detect faults that cause reductions in yearly PV energy production, and which can reduce the whole-life cost. A key point of PV monitoring at the panel level is cost-effectiveness, as the installation of the massive PV panels that comprise PV systems is showing rapid growth in the market. This paper proposes an implementation method that involves the use of a panel-level wireless PV monitoring module (WPMM), and which assesses the cost-effectiveness of this approach. To maximize the cost-effectiveness, the designed WPMM uses a voltage-divider scheme for voltage metering and a shunt-resistor scheme for current metering. In addition, the proposed method offsets the effect of element errors by extracting calibration parameters. Furthermore, a design method is presented for portable and user-friendly PV monitoring, and demonstration results using a commercial 30-kW PV system are described.

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참고문헌

  1. B. Burger et al., Photovoltaics report, Fraunhofer ISE, Freiburg, Germany, Nov. 2016. https://www.ise.fraunhofer.de/content/dam/ise/de/documents/publications/studies/Photovoltaics-Report.pdf
  2. S. Nowak, Trends 2016 in Photovoltaic applications: Survey report of selected IEA countries between 1992 and 2015, Report IEA-PVPS T1-30:2016, 2016. http://www.iea-pvps.org/fileadmin/dam/public/report/national/Trends_2016_-_mr.pdf
  3. B. Lee et al., Degradation diagnosis system of photovoltaic panels with mobile application, IEEE Trans. Consum. Electron. 60 (2014), no. 3, 338-346. https://doi.org/10.1109/TCE.2014.6937316
  4. B. Ando et al., Sentinella: Smart monitoring of photovoltaic systems at panel level, IEEE Trans. Instrum. Meas. 64 (2015), no. 8, 2188-2199. https://doi.org/10.1109/TIM.2014.2386931
  5. T. Mukai et al., The competitiveness of continuous monitoring of residential PV systems: A model and insights from the Japanese market, IEEE Trans. Sustain. Energy 5 (2014) no. 4, 1176-1183. https://doi.org/10.1109/TSTE.2014.2338933
  6. J. Han et al., PCL-based photovoltaic system management for smart home energy management system, IEEE Trans. Consum. Electron. 60 (2014), no. 2, 184-189. https://doi.org/10.1109/TCE.2014.6851992
  7. M. Davarifar et al., Real-time model base fault diagnosis of PV panels using statistical signal processing, Proc. Int. Conf. Renew. Energy Res. Appl. (ICRERA), Madrid, Spain, Oct. 2013, pp. 599-604.
  8. M. Benghanem and A. Maafi, Data acquisition system for photovoltaic systems performance monitoring, IEEE Trans. Instrum. Meas. 47 (1998), no. 1, 30-33. https://doi.org/10.1109/19.728784
  9. A. Carullo et al., In situ calibration of heterogeneous acquisition systems: The monitoring system of a photovoltaic plant, IEEE Trans. Instrum. Meas. 59 (2010), no. 5, 1098-1103. https://doi.org/10.1109/TIM.2010.2045145
  10. J. Han, I. Lee, and S.-H. Kim, User-friendly monitoring system for residential PV system based on low-cost power line communication, IEEE Trans. Consum. Electron. 61 (2015) no. 2, 175-180. https://doi.org/10.1109/TCE.2015.7150571
  11. P. Guerriero et al., Monitoring and diagnostics of PV plants by a wireless self-powered sensor for individual panels, IEEE J. Photovolt. 6 (2016), no. 1, 286-294. https://doi.org/10.1109/JPHOTOV.2015.2484961
  12. Y.-M. Chen, C.-W. Chen, and Y.-L. Chen, Development of an autonomous distributed maximum power point tracking PV system, IEEE Proc. Energy Convers. Congr. Expo. (ECCE), Phoenix, AZ, USA, Sept. 2011, pp. 3614-3619.
  13. L. C. Fernandes and A. J. M. Soares, Simplified characterization of the urban propagation environment for path loss calculation, IEEE Antennas Wireless Propag. Lett. 9 (2010), 24-27. https://doi.org/10.1109/LAWP.2010.2041523
  14. S. Aust and T. Ito, Sub 1 GHz wireless LAN propagation path loss models for urban smart grid applications, Proc. Int. Conf. Comput. Netw. Commun. (ICNC), Maui, HI, USA, Jan. 30-Feb. 2, 2012, pp. 116-120.
  15. M. K. Oh et al., A fully integrated IEEE 802.15.4g MR-FSK SoC for smart utility network applications, IEEE Trans. Consum. Electron. 60 (2014), no. 4, 580-586. https://doi.org/10.1109/TCE.2014.7027290
  16. X. Xiong et al. Chatzimisios, low power wide area machine-to-machine networks: Key techniques and prototype, IEEE Commun. Mag. 53 (2015), no. 9, 64-71.
  17. M. Caruso et al., A low-cost, real-time monitoring system for PV plants based on ATmega 328P-PU microcontroller, Proc. IEEE Inf. Telecommun. Energy Conf. (INTELEC), Osaka, Japan, Oct. 18-22, 2015, pp. 1-5.
  18. Texas Instruments, LMP8645HV precision high voltage current sense amplifier, Texas Instruments, LMP8645, Texas, USA, Sept. 2015. http://www.ti.com/lit/ds/symlink/lmp8645.pdf
  19. Y. Rashidi, M. Moallem, and S. Vojdani, Wireless Zigbee system for performance monitoring of photovoltaic panels, IEEE Photovolt. Specialists Conf. (PVSC), Seattle, WA, USA, June 19-24, 2011, pp. 3205-3207.
  20. J. G. Proakis, Optimum receivers for the additive white Gaussian noise channel, Digital Communications, 4th ed, McGraw-Hill, New York, USA, 2001, pp. 231-318.
  21. Analog Device, TMP35/TMP36/TMP37 Data Sheet, Low Voltage Temperature Sensors, Analog Device, MA, USA. http://www.analog.com/media/en/technical-documentation/data-sheets/TMP35_36_37.pdf

피인용 문헌

  1. IoT-based low-cost prototype for online monitoring of maximum output power of domestic photovoltaic systems vol.43, pp.3, 2021, https://doi.org/10.4218/etrij.2019-0537