JIEIE
Journal of the Korean Institute of Illuminating
and Electrical Installation Engineers
KIIEE
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ISSN : 1229-4691 (Print)
ISSN : 2287-5034 (Online)
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Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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J Korean Inst. IIIum. Electr. Install. Eng.
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2022-09
(Vol.36 No.09)
10.5207/JIEIE.2022.36.9.016
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References
1
Park C. W., et al., 2020, Fundamental Study of Fault Restoration Plan Using Intelligence Technique for IEC 61850-based Digital Substation, KEPRI Final Report, pp. 1-155
2
KEPCO , 2016, Transmission & Substation SOP, KEPCO Transmission & Transformation, pp. 1-77
3
INNOPOLIS , 2021, A Promising Market Issue Report (Digital Substation), pp. 1-39
4
KEPCO , 2021, Digitalization of Substations and Design/Build Technology of Process Bus Network System, Intelligent Digital Substation Technology Exchange Conf., pp. 1-330
5
Ko Y. S., Kang T. G., 2004, Development of An Expert System with Knowledge Learning Capability for Service Restoration of Automated Distribution Substation, Trans. KIEE, Vol. 53A, No. 12, pp. 637-644
6
Cho P. H., Kim H. G., 2016, A Study of Standard Operation Procedure based on Analysis of Substation Fault, 2016 KIEE Summer Conf., pp. 444-445
7
Lee H. J., Oh J. H., 2020, A Study on the Intelligent Restoration Algorithm for Distribution Substations with Extended Topology, Trans. KIEE, Vol. 69, No. 6, pp. 846-854
8
Jang B. T., et al., 2020, Development of Support System for Substation Restoration based Expert Knowledge, KEPRI, Final Report, pp. 1-487
9
Alves da Silva A. P., et al., 1996, Neural Networks for Fault Location in Substations, IEEE Transactions of Power Delivery, Vol. 11, No. 1, pp. 234-239
10
Wen F., Chang C. S., 1996, A New Approach to Fault Diagnosis in Electrical Distribution Networks Using a Genetic Algorithm, Artificial Intelligence in Engineering, Vol. 12, pp. 69-80
11
Matsumoto Yoku, et al. , 2000, Development of Outage Restoration System Using Genetic Algorithm, 2000 IEEE Power Engineering Society Winter Meeting Conference Proceedings (Cat. No.00CH37077), pp. 2775-2779
12
Leao Fabio Bertequini, et. al. , 2009, Fault Section Estimation in Automated Distribution Substations, 2009 IEEE Power & Energy Society General Meeting, pp. 1-8
13
Pickett Bruce , et al. , 2016, Reducing Outages Through Improved Protection, Monitoring, Diagnostics, and Autorestoration in Transmission Substations—(69 kV and Above), IEEE Transactions on Power Delivery, Vol. 31, pp. no. 3 1327-1334
14
Uchoa Luana, et. al. , 2020, Analysis of Smart Grid Fault Recovery Protocols, 2020 IEEE/IFIP Network Operations and Management Symposium (NOMS), pp. 1-8
15
Ren B., et al., 2020, Research on Fault Location of Process-Level Communication Networks in Smart Substation Based on Deep Neural Networks, IEEE Access, Vol. 8, pp. 109707-109718
16
Zhu Ruoxi, et. al. , 2021, Cyber System Recovery for IEC 61850 Substations, 2021 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), pp. 1-5