Browse > Article
http://dx.doi.org/10.5370/KIEEP.2018.67.1.027

Development of Arc Detection Algorithm for 50 kW Photovoltaic System  

Kim, Sang-Kyu (KP & Safety Diagnosis Institute)
Lee, Chang-Sung (Semyeong ENG Ltd.)
Ji, Pyeong-Shik (Dept. of Electrical Engineering, Korea National University of Transportation)
Publication Information
The Transactions of the Korean Institute of Electrical Engineers P / v.67, no.1, 2018 , pp. 27-32 More about this Journal
Abstract
In this paper, we developed an algorithm to detect arc of PV power plant through frequency analysis. For arc detection based on frequency analysis, the filter should be designed to emphasize the difference between the arc state and the normal state. Therefore, in this paper, we analyzed the arc detection performance according to various filter structures. The arc detection algorithm developed in this paper extracts the filtering signal on current by using various filters and then calculates the frequency components and total energy using the FFT. In the final step, the arc is detected using the calculated energy magnitude. In order to verify the performance of the proposed arc detection algorithm, experiments were conducted on 51 kW solar inverters connected to power line. Through various experiments, it was confirmed that the proposed method effectively detects the arc.
Keywords
Arc detection; Photovoltaic system; Frequency analysis; Solar energy; Arc fault interruption;
Citations & Related Records
연도 인용수 순위
  • Reference
1 National Electric Code(NFPA 70), National Fire Protection Association, 2011.
2 Underwriters Laboratories, "Outline of investigation for Photovoltaic (PV) DC arc-fault circuit protection," UL1699B, 2011.
3 M. K. Alam, F. Khan, J. Johnson, and J. Flicker, "A comprehensive review of catastrophic faults in PV arrays: Types, detection, and mitigation techniques," IEEE Journal, Photovoltaics, vol. 5, no. 3, pp. 982-997, 2015.   DOI
4 C. E. Restrepo, "Arc fault detection and discrimination methods," Contacts Conf., pp. 115-12, 2007.
5 J. Johnson, B. Pahl, C. Luebke, T. Pier, T. Miller, J. Strauch, S. Kuszmaul, and W. Bower, "Photovoltaic DC arc fault detector testing at Sandia National Laboratories," IEEE Photovoltaic Special Conf., pp. 3614-3619, 2011
6 J. Johnson, S. Kuszmaul, W. Bower, and D. Schoenwald, "Using PV module and line frequency response data to create robust arc fault detectors," Photovoltaic Sol. Energy Conf., pp. 3745-3750, 2011
7 B. Novak, "Implementing arc detection in solar applications: Achieving compliance with the new UL 1699B standard," Texas Instruments, Dallas, TX, US.
8 Sang-Kyu Kim, Pyeong-Shik Ji, "Arc Detection Method of Photovoltaic System using Frequency Analysis," The Transactions of the Korean Institute of Electrical Engineers, vol. 66P, no. 3, pp. 144-149, 2017.   DOI
9 F. Reil, A. Sepanski, S. Raubach,M. Vosen, and E. Dietrich, "Comparison of different DC arc spectra; Derivation of proposals for the development of an international arc fault detector standard," IEEE Photovoltaic Special Conf., pp. 1589-1593, 2013.
10 Johnson J, Kuszmaul S, Bower W, Schoenwald D, "Using PV module and line frequency response data to create robust arc fault detectors," European Photovoltaic Solar Energy Conference and Exhibition, pp. 3745-3750, 2011.
11 J. Johnson, M. Montoya, S. McCalmont, G. Katzir, F. Fuks, J. Earle, A. Fresquez, S. Gonzalez, and J. Granata, "Differentiating series and parallel photovoltaic arc-faults," Photovoltaic Special Conf., 2012.
12 Yuan Gao, Jianfei Dong, Yaojie Sun, Yandan Lin, Rui Zhang, "PV arc-fault feature extraction and detection based on bayesian support vector machines," International Journal of Smart Grid and Clean Energy, vol. 4, no. 4, pp. 283-290, 2015.
13 Novak B, "Implementing arc detection in solar applications: achieving compliance with the new UL 1699B Standard," Texas Instruments, 2012.
14 G. S. Seo, H. Bae, B. H. Cho, and K. C. Lee, "Arc protection scheme for DC distribution systems with photovoltaic generation," Conf. Renewable Energy, pp. 1-5, 2012