Funder
China Electric Power Research Institute
Publisher
Springer Science and Business Media LLC
Reference21 articles.
1. Pillai, D.S., Blaabjerg, F., Rajasekar, N.: A comparative evaluation of advanced fault detection approaches for PV systems. IEEE J. Photovolt. 9(2), 513–527 (2019)
2. Jing, L., Xia, L., Zhao, T., Zhou, J.: An improved arc fault location method of DC distribution system based on EMD-SVD decomposition. Appl. Sci. 13, 9132 (2023)
3. Wu, Q., Zhang, J., Ran, T., et al.: Simulation study on steady-state heat transfer characteristics of DC arc fault. J. Electr. Technol. 36(13), 2697–2709 (2021)
4. Dang, H.-L., Kwak, S., Choi, S.: Empirical filtering-based artificial intelligence learning diagnosis of series DC arc faults in time domains. Machines 11, 968 (2023)
5. Weerasekara M, Vilathgamuwa M, Mishra Y. Modelling of DC arcs for photovoltaic system faults. In: 2016 IEEE 2nd Annual Southern Power Electronics Conference (SPEC), Auckland, New Zealand, pp. 1–4 (2016)