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Journal of the Korean Institute of Illuminating and Electrical Installation Engineers

ISO Journal TitleJ Korean Inst. IIIum. Electr. Install. Eng.
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References

1 
Seongjun Park, Seongmi Park, and Junghwan Lee, “DC Distribution and DC Circuit Breaker Technology Trends,” The Korean Institute of Electrical Engineers, Vol. 64, No. 11, pp. 27-33, 2015.URL
2 
Cheol-Hee Yu, et al., “A Feasibility Study on DC Microgrids Considering Energy Efficiency,” The transactions of The Korean Institute of Electrical Engineers, Vol. 60, No. 9, pp. 1674-1683, 2011.DOI
3 
Jin-Kyo Chong, Ki-Dong Song, Woo-Young Lee, and Gyu-Tak Kim, “A Study on Arc Conductance of Puffer Type SF6 GCB at Current Zero Period,” The transactions of The Korean Institute of Electrical Engineers, Vol. 59, No. 2, pp. 328-332, 2010.DOI
4 
Hyungjin Bae, Jongmin Jo, Taepung Ahn, and Hanju Cha, “Implementation and Verification of Semiconductor Breaker for DC Distribution,” Power Electronics Conference, pp. 132-133, 2017.URL
5 
Hyo-sang Choi, “Development Status of HVDC System and DC Circuit Breaker Technology,” The Korean Institute of Electrical Engineers, Vol. 65, No. 8, pp. 21-27, 2016.URL
6 
R. Li, L. Xu, and L. Yao, “DC Fault Detection and Location in Meshed Multiterminal HVDC Systems Based on DC Reactor Voltage Change Rate,” in IEEE Transactions on Power Delivery, Vol. 32, No. 3, pp. 1516-1526, 2017, doi: 10.1109/TPWRD.2016.2590501.DOI
7 
I. Jahn, N. Johannesson, and S. Norrga, “Survey of methods for selective DC fault detection in MTDC grids,” 13th IET International Conference on AC and DC Power Transmission (ACDC 2017), 2017, pp. 1-7, doi: 10.1049/cp.2017.0041.DOI
8 
Chengyu Li, Aniruddha M. Gole, Chengyong Zhao, “A Fast DC Fault Detection Method Using DC Reactor Voltages in HVdc Grids,” IEEE Transactions on Power Delivery, Vol 33, No 5, pp. 2254-2264, 2018.DOI
9 
Y. Li, et al., “DC Fault Detection in MTDC Systems Based on Transient High Frequency of Current,” in IEEE Transactions on Power Delivery, Vol. 34, No. 3, pp. 950-962, 2019, doi: 10.1109/TPWRD.2018.2882431.DOI
10 
Q. Yang, J. Li, S. Le Blond, and C. Wang, “Artificial Neural Network Based Fault Detection and Fault Location in the DC Microgrid,” Energy Procedia, Vol. 103, pp. 129-134, 2016.DOI
11 
Minkyung Baek, et al, “Accurate Prediction of Protein Structures and Interactions Using a Three-track Neural Network,” Science, 2021 (DOI: 10.1126/science.abj8754)DOI
12 
Pedro Domingos, “The Master Algorithm: How the Quest for the Ulitmate Learning Machine will Remake Our World,” Basic Books, 1st Ed., 2015.URL
13 
A. Krizhevsky, I. Sutskever, and G. E. Hinton, “Imagenet Classification with Deep Convolutional Neural Networks,” Advances in Neural Information Processing Systems, 25, 2012.URL
14 
Rashid, Muhammad H., ed. “Power electronics handbook. Butterworth-heinemann,” 2017.URL
15 
Underwrites Laboratories Inc. UL1699, “Arc-Fault Circuit- Interrupters,” 2003.URL
16 
Suyong Chae, Jinju Park, Sukin Park, and Soobin Han, “Series DC Arc Fault Detection Algorithm Using Time and Frequency Domain Information,” Power Electronics Conference, pp. 427-428, 2015.URL
17 
Won-Sik Ko, Won-Sik Moon, Sun-Bae Bang, and Jae-Chul Kim, “Analysis of Ignition Time/Current Characteristics and Energy when Series Arc-Fault Occurs at Rated 220V,” The transactions of The Korean Institute of Electrical Engineers, Vol. 62, No. 8, pp. 1184-1191, 2013.DOI
18 
Jeongwoon Ahn and Yong-Taek Oh, “Series Arcing Fault Detection Method Using Harmonics Analysis of Supply Current,” Journal of the Korean Institute of Illuminating and Electrical Installation Engineers, Vol. 28, No. 12, pp. 30-37, 2014.DOI