Mobile QR Code QR CODE : Journal of the Korean Institute of Illuminating and Electrical Installation Engineers

Journal of the Korean Institute of Illuminating and Electrical Installation Engineers

ISO Journal TitleJ Korean Inst. IIIum. Electr. Install. Eng.
Online Submission

Journal Search

  1. Home
  2. Archive
  3. 2020-04 (Vol.34 No.04)
  4. 10.5207/JIEIE.2020.34.4.024
XML PDF INFO REF

References

1 
Park C. W., Kang T. W., 2017. 3, Fundamental Study of Fault Restoration Plan using Intelligence Technique for IEC 61850-based Digital Substation, KEPRI Research Proposal, pp. 1-28Google Search
2 
Lee K. M., Choi S. C., Im J. H., Park C. W., 2016, Review of Restoration Procedures of Substation Automation System, KIEE Summer Conference, pp. 555-556Google Search
3 
KEPCO , 2016, Plans to Build Automatic Fault Restoration System for Substation, KEPCO Transmission & Transformation, pp. 1-5Google Search
4 
Mun B. R., 2014, Easy to learn genetic algorithm : Evolutionary approach, Hanbit Academy Inc, pp. 1-284Google Search
5 
Michael Negnevitsky, Kim Y. H., 2018, Artificial Intelligence 2nd Ed., ADDISON-WESLEY Hanbit Academy Inc, pp. 1-481Google Search
6 
KEPCO , 2016, Transmission & Substation Standard Operation Procedure, KEPCO Transmission & Transformation, pp. 1-77Google Search
7 
Cho P. H., Kim H. G., Park W. J., 2017, A Study of major fault causes based on analysis of substation fault, 2017 KIEE Summer Conference, pp. 435-436Google Search
8 
Park Y. M., Won J. R., July 1996, A Study on the Restoration of Substation using Genetic Algorithm, KIEE Summer Conference, pp. 820-822Google Search
9 
Kim M. S., KIm B. S., R J., Shin , Yim H. S., July 1999, Optimal Routing Based on Genetic Algorithms for Distribution System Planning, KIEE Autumn Conference, pp. 137-140Google Search
10 
Kim G. T., Kim G. W., Kim J. S., Kim M. S., Cho G. J., Oh Y. S., Kim C. H., Nov, 2017, Selection of Optimal Location and Size of Distributed Generation using Genetic Algorithm, KIEE PES Autumn Conference, pp. 273-274Google Search
11 
Song M. S., Kim H. M., Lee B. H., 2017, A Study on Selecting the Optimal Location of BTB HVDC for Reducing Fault Current in Metropolitan Regions Based on Genetic Algorithm Using Python, KIEE, Vol. 66, No. 8, pp. 1163-1171DOI
12 
Wen F., Chang C. S., 1998, A new approach to fault diagnosis in electrical distribution networks using a genetic algorithm, Artificial Intelligence in Engineering, Vol. 12DOI
13 
Yoku Matsumoto, Shuji Hase, Tomoo Kinoshita, 2000, Development of Outage Restoration System using Genetic Algorithm, 2000 IEEE Power Engineering Society Winter Meeting. Conference Proceedings, pp. 2775-2779DOI
14 
Pengfei Guo, Xuezhi Wang, Yingshi Han, 2010, The Enhanced Genetic Algorithms for the Optimization Design, 3rd International Conference on Biomedical Engineering and Informatics, pp. 2990-2994DOI
15 
Guillermo Bravo, Juan Prieto, Angel Yunta, David Trebolle, Stefano Salvini, David Wallom, 2012, A Genetic Based Service Restoration Algorithm for real-time operated Medium Voltage Distribution Networks using High Performance Computing, 2012 47th International Universities Power Engineering Conference (UPEC), pp. 1-6DOI
16 
Leandro Tolomeu Marques, João Bosco Augusto London, Marcos Henrique Marçal Camillo, Telma Woerle de Lima, 2017, A new multi-objective evolutionary algorithm for service restoration: Non-dominated Sorting Genetic Algorithm-II in subpopulation tables, 2017 IEEE Manchester PowerTech, pp. 1-6DOI
17 
Park C. W., Kang T. W., et al. , 2019, Fundamental Study of Fault Restoration Plan using Intelligence Technique for IEC 61850-based Digital Substation, KEPRI 2nd year report, pp. 1-155Google Search
18 
Lee K.M., Hong J.Y., Kim D.Y., Chae C.G., Kang T.W., Lee Y.J., Park C.W., 2019. 4, SOP Analysis for Intelligent Fault Restoration Method of Substation, KIEE Spring Conference, pp. 195-197Google Search