Logistic Regression Based Arc Fault Detection in Photovoltaic Systems Under Different Conditions
Tóm tắt
Từ khóa
Tài liệu tham khảo
National Fire Protection Association. National electrical code: NFPA 70 [S]. Quincy, MA, USA: NFPA, 2011.
Underwriters Laboratories Inc. Outline of investigation for photovoltaic (PV) DC arcfault circuit protection: UL 1699B [S]. Northbrook, IL, USA: UL, 2013.
NOVAK B. Implementing arc detection in solar applications: achieving compliance with the new UL 1699B standard [EB/OL]. (2012-07-10) [2018-10-10]. http://www.ti.com/lit/wp/spry209/spry209.pdf .
XIONG Q, JI S C, ZHU L Y, et al. A novel DC arc fault detection method based on electromagnetic radiation signal [J]. IEEE Transactions on Plasma Science, 2017, 45(3): 472–478.
XIA K, HE Z H, YUAN Y, et al. An arc fault detection system for the household photovoltaic inverter according to the DC bus currents [C]//18th International Conference on Electrical Machines and Systems. Pattaya, Thailand: IEEE, 2015: 1687–1690.
CHAE S, PARK J, OH S. Series DC arc fault detection algorithm for DC microgrids using relative magnitude comparison [J]. IEEE Journal of Emerging and Selected Topics in Power Electronics, 2016, 4(4): 1270–1278.
CHEN S L, LI X W, XIONG J Y. Series arc fault identification for photovoltaic system based on time-domain and time-frequency-domain analysis [J]. IEEE Journal of Photovoltaics, 2017, 7(4): 1105–1114.
WANG Z, BALOG R S. Arc fault and flash detection in photovoltaic systems using wavelet transform and support vector machines [C]//43rd IEEE Photovoltaic Specialists Conference. Portland, OR, USA: IEEE, 2016: 3275–3280.
ZHU H Z, WANG Z, BALOG R S. Real time arc fault detection in PV systems using wavelet decomposition [C]//43rd IEEE Photovoltaic Specialists Conference. Portland, OR, USA: IEEE, 2016: 1761–1766.
LU S B, PHUNG B T, ZHANG D M. A comprehensive review on DC arc faults and their diagnosis methods in photovoltaic systems [J]. Renewable and Sustainable Energy Reviews, 2018, 89: 88–98.
GUO Y M, WANG L, WU Z Q, et al. Wavelet packet analysis applied in detection of low-voltage DC arc fault [C]// 4th IEEE Conference on Industrial Electronics and Applications. Xi'an, China: IEEE, 2009: 4013–4016.
MENG Z, WANG L, SUN Q G. The characteristics of DC arc faults current [C]//15th European Conference on Power Electronics and Applications. Lille, France: IEEE, 2013: 1–9.
YAO X, HERRERA L, JI S C, et al. Characteristic study and time-domain discrete-wavelet-transform based hybrid detection of series DC arc faults [J]. IEEE Transactions on Power Electronics, 2014, 29(6): 3103–3115.
MOMOH J A, BUTTON R. Design and analysis of aerospace DC arcing faults using fast Fourier transformation and artificial neural network [C]//IEEE Power Engineering Society General Meeting. Toronto, Canada: IEEE, 2003: 788–793.
ROGERS S, GIROLAMI M. A first course in machine learning [M]. Boca Raton, FL, USA: Chapman and Hall/CRC, 2011.
