Title |
Faulted Section Identification Method in The Distribution Systems with Renewable Energy Resources |
Authors |
이한성(Lee, Han-Seong) ; 전철우(Jeon, Cheol-Woo) ; 김영국(Kim, Young-Kook) ; 임성일(Lim, Seong-Il) |
DOI |
https://doi.org/10.5370/KIEE.2014.63.10.1321 |
Keywords |
Faulted Section Identification ; Renewable Energy Resource ; Fuzzy Decision Making Technique |
Abstract |
Faulted section identification is one of the most important function in distribution automation systems. Conventional over current detection based fault indicators frequently mal-operate due to the reverse fault current from the renewable energy resources. This paper present a new faulted section identification method based on the fuzzy decision making technique. In order to establish feasibility of the proposed method, case studies using Matlab Simulink has been performed. |