A decision making method for congested transmission lines of KEPCO system

Jun Min Cha, Kwang Hae Oh, Byong Jun Lee, Kil Yeong Song

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)


In this paper, fuzzy theory is used to quantify some subjective criteria to consider uncertain factors for transmission line reinforcement planning. As it can be easily applied to multi attribute decision making problems such as power system planning, Sugeno's fuzzy integral is also used in the proposed method. To verify the proposed algorithm, some bottle-neck lines are searched for the case that the amount of Maximal Load Supplying Capability(MLSC) is small using the results of contingency analysis for Korea Electric Power Corporation(KEPCO)'s 345 kV transmission line in 1998. And several feasible alternatives are composed for line reinforcement which can solve the bottle-neck problem in KEPCO system.

Original languageEnglish
Title of host publicationPowerCon 2000 - 2000 International Conference on Power System Technology, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages5
ISBN (Print)0780363388, 9780780363380
Publication statusPublished - 2000
EventInternational Conference on Power System Technology, PowerCon 2000 - Perth, Australia
Duration: 2000 Dec 42000 Dec 7


OtherInternational Conference on Power System Technology, PowerCon 2000


  • Decision making
  • Sugeno's fuzzy integral
  • Transmission line reinforcement planning

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering


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