The Transactions of the Korean Institute of Power Electronics (전력전자학회논문지)

The Korean Institute of Power Electronics (전력전자학회)
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Separation Inverter Noise and Detection of DC Series Arc in PV System Based on Discrete Wavelet Transform and High Frequency Noise Component Analysis

DWT 및 고주파 노이즈 성분 분석을 이용한 PV 시스템 인버터 노이즈 구분 및 직렬 아크 검출

  • Ahn, Jae-Beom (Dept. of Energy Systems Engineering, Chung-Ang University) ;
  • Jo, Hyun-Bin (Dept. of Energy Systems Engineering, Chung-Ang University) ;
  • Lee, Jin-Han (Dept. of Energy Systems Engineering, Chung-Ang University) ;
  • Cho, Chan-Gi (Laser Weapon Systems PMO, Agency for Defense Development) ;
  • Lee, Ki-Duk (Research & Development Center, O&M KOREA) ;
  • Lee, Jin (Research & Development Center, O&M KOREA) ;
  • Lim, Seung-Beom (Eon Co., Ltd) ;
  • Ryo, Hong-Je (Dept. of Energy Systems Engineering, Chung-Ang University)
  • Received : 2021.02.25
  • Accepted : 2021.04.26
  • Published : 2021.08.20
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Abstract

Arc fault detector based on multilevel DWT with analysis of high-frequency noise components over 100 kHz is proposed in this study to improve the performance in detecting serial arcs and distinguishing them from inverter noise in PV systems. PV inverters generally operate at a frequency range of 20-50 kHz for switching operation and maximum power tracking control, and the effect of these frequency components on the signal for arc detection leads to negative arc detection. High-speed ADC and multilevel DWT are used in this study to analyze frequency components above 100 kHz. Such high frequency components are less influenced by inverter noise and utilized to detect as well as separate DC series arc from inverter noise. Arc detectors identify the input current of PV inverters using a Rogowski coil. The sensed signal is filtered, amplified, and used in 800kSPS ADC and DWT analysis and arc occurrence determination in DSP. An arc detection simulation facility in UL1699B was constructed and AFD tests the proposed detector were conducted to verify the performance of arc detection and performance of distinction of the negative arc. The satisfactory performance of the arc detector meets the standard of arc detection and extinguishing time of UL1699B with an arc detection time of approximately 0.11 seconds.

Keywords

Acknowledgement

본 연구는 산업통상자원부(MOTIE)와 한국에너지기술평가원(KETEP)의 지원(No.20192910100090)과 2021년도 산업통상자원부 및 한국산업기술진흥원의 지원(No.P0016220)을 받아 수행된 연구 과제입니다.

References

  1. Allianz Global Corporate & Specialty SE, "Fire hazard of photovoltaic (PV) systems," Tech Talk, Vol. 8, 2019.
  2. UL Standard, "Outline of investigation for photovoltaic (PV) DC arc-fault circuit protection," Standard 1699B, 1st ed., Aug. 2018.
  3. Q. Xionga, S. Jia, X. Liua, X. Fengb, F. Zhanga, L. Zhua, A. L. Gattozzib, and R. E. Hebnerb, "Detecting and localizing series arc fault in photovoltaic systems based on time and frequency characteristics of capacitor current," Solar Energy, Vol. 170, pp. 788-799, Aug. 2018. https://doi.org/10.1016/j.solener.2018.06.004
  4. S. Lu, D. Zhang, and T. Phung, "Arcing fault detection in the scenario with renewable energy generation," in 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, pp. 6869-6874, 2017.
  5. Z. Wang, S. McConnell, R. S. Balog, and J. Johnson, "Arc fault signal detection - Fourier transformation vs. wavelet decomposition techniques using synthesized data," in 40th Photovoltaic Specialist Conference (PVSC), Denver, CO, USA, pp. 1-6, 2014.
  6. S. McConnell, Z. Wang, R. S. Balog, and J. Johnson, "Evaluation method for arc fault detection algorithms," in 40th Photovoltaic Specialist Conference (PVSC), Denver, CO, USA, pp. 3201-3206, 2014.
  7. P. Qi, J. Lezama, S. Jovanovic, and P. Schweitzer, "Adaptive real-time DWT-based method for arc fault detection," in 27th International Conference on Electrical Contacts, Dresden, Germany, pp. 563-568. 2014.
  8. A. F. Ilman and Dzulkiflih, "Low voltage series arc fault detecting with discrete wavelet transform," in International Conference on Applied Engineering (ICAE), Batam, Indonesia, pp. 1-5, 2018.
  9. Z. Wang and R. S. Balog, "Arc fault and flash detection in DC photovoltaic arrays using wavelets," in 39th Photovoltaic Specialist Conference (PVSC), Tampa, FL, USA, 2013.
  10. J. S. Walker, "A primer on wavelets and their scientific applications," Chapman and Hall/CRC, 2nd ed., 2014.
  11. C. E. Shannon "Communication in the presence of noise," in Proceedings of the IRE, Vol. 37, No. 1, pp. 10-21, Jan. 1949.