• 대한전기학회
Mobile QR Code QR CODE : The Transactions of the Korean Institute of Electrical Engineers
  • COPE
  • kcse
  • 한국과학기술단체총연합회
  • 한국학술지인용색인
  • Scopus
  • crossref
  • orcid
The Transactions of the Korean Institute of Electrical Engineers

The Transactions of the Korean Institute of Electrical Engineers

ISO Journal TitleTrans. Korean. Inst. Elect. Eng.
SCImago Journal & Country Rank

Journal Search

  1. Home
  2. Archive
  3. 2025-12 (Vol.74 No.12)
  4. 10.5370/KIEE.2025.74.12.2181
XML PDF INFO REF

References

1 
D. Breger, Z. Dowling, R. Strong, A. Bates, S. Farrar, 2024, The Electric Grid, Distributed Generation, and Grid InterconnectionDOI
2 
M. Meskin, A. Domijan, I. Grinberg, 2020, Impact of distributed generation on the protection systems of distribution networks: Analysis and remedies—review paper, IET Generation, Transmission & Distribution, Vol. 14, No. 1, pp. 5944-5960DOI
3 
A. A. Majeed, A. S. Altaie, M. Abderrahim, A. Alkhazraji, 2023, A Review of Protection Schemes for Electrical Distribution Networks with Green Distributed Generation, Energies, Vol. 16, No. 22DOI
4 
F. Alasali, 2024, The recent development of protection coordination schemes for distribution systems with DERs: A review, IET Generation, Transmission & Distribution, Vol. 18, No. 13, pp. 2463-2488DOI
5 
1996, High Impedance Fault Detection TechnologyGoogle Search
6 
J. C. J. Theron, 2017, Tutorial on High Impedance Fault DetectionGoogle Search
7 
K. Moloi, I. Davidson, 2022, High Impedance Fault Detection Protection Scheme for Power Distribution Systems, Mathematics, Vol. 10, No. 22DOI
8 
G. Li, Q. Chen, J. Zhang, 2020, Novel faulted section location method for distribution network based on status information of fault indicating equipment, Applied Sciences, Vol. 10, No. 17DOI
9 
Y. Cao, J. Tang, S. Shi, D. Cai, L. Zhang, P. Xiong, 2024, Fault Diagnosis Techniques for Electrical Distribution Network Based on Artificial Intelligence: A Review, Processes, Vol. 12, No. 1DOI
10 
H. Mirshekali, A. Keshavarz, R. Dashti, 2023, Deep learning-based fault location framework in power distribution grids, Electric Power Systems Research, Vol. 223DOI
11 
X. Ma, W. Zhen, H. Ren, G. Zhang, K. Zhang, H. Dong, 2024, A Method for Fault Localization in Distribution Networks with High Proportions of Distributed Generation Based on Graph Convolutional Networks, Energies, Vol. 17, No. 22DOI
12 
L. Liang, H. Zhang, S. Cao, X. Zhao, 2024, Fault location method for distribution networks based on Multi-head Graph Attention Networks, Frontiers in Energy Research, Vol. 12DOI
13 
Z. Wang, B. Huang, B. Zhou, J. Chen, Y. Wang, 2024, An Enhanced Fault Localization Technique for Distribution Networks Utilizing Cost-Sensitive Graph Neural Networks, Processes, Vol. 12, No. 11DOI
14 
W. Xu, J. Li, L. Yang, Q. Yu, 2024, Faults locating of power distribution systems based on successive PSO-GA algorithm, Scientific Reports, Vol. 14DOI
15 
S. H. Lee, Y. Jeon, D. Gwon, Y. Choi, 2025, Development of a machine learning-based fault detection model for networked distribution systemsGoogle Search