| Title |
Fault Location Technique of 154kV Substation using Neural Network |
| Authors |
안종복(Jong-Bok Ahn) ; 강태원(Tae-Won Kang) ; 박철원(Chul-Won Park) |
| DOI |
http://doi.org/10.5370/KIEE.2018.67.9.1146 |
| Keywords |
Artificial intelligence technique ; Fault location ; Neural network ; Substations ; Weka software |
| Abstract |
Recently, researches on the intelligence of electric power facilities have been trying to apply artificial intelligence techniques as computer platforms have improved. In particular, faults occurring in substation should be able to quickly identify possible faults and minimize power fault recovery time. This paper presents fault location technique for 154kV substation using neural network. We constructed a training matrix based on the operating conditions of the circuit breaker and IED to identify the fault location of each component of the target 154kV substation, such as line, bus, and transformer. After performing the training to identify the fault location by the neural network using Weka software, the performance of fault location discrimination of the designed neural network was confirmed. |