| Title |
SOP based Fault Type Identification of Substation using ANN |
| Authors |
이경민(Kyung-Min Lee) ; 박철원(Chul-Won Park) |
| DOI |
https://doi.org/10.5370/KIEE.2019.68.9.1039 |
| Keywords |
AI; ANN; BP; Fault recovery system; Fault type identification; Learning; SOP; Substation |
| Abstract |
After AlphaGo, there has been a move to apply AI advancements and self-learning to substation fault determination system to transition to an automatic fault recovery system. In order to fault recovery, fault type identification and fault location determination must be preceded. Artificial Neural Network (ANN) with smart advantage has recently been increasing interest due to the advancement of computer hardware and software platform.
In this study, ANN is used to identify fault type in substation. First, we made the structure of ANN using the components of substation and the fault types of Standard Operation Procedure (SOP). Then the learning pattern was included considering the steady state and the 15 fault types specified in SOP. After learning through Back Propagation (BP), the ANN for identifying fault type of substation presented as a test pattern was tested. Finally, the proposed technique was evaluated under various simulation conditions. |