| Title |
hallenging Issues and Intelligent Protective Methods for Microgrid Protection |
| Authors |
김지수(Ji-Soo Kim) ; 송진솔(Jin-Sol Song) ; 신광수(Gwang-Su Shin) ; 김호영(Ho-Young Kim) ; 김철환(Chul-Hwan Kim) |
| DOI |
https://doi.org/10.5370/KIEE.2021.70.6.911 |
| Keywords |
Neural network; Fault contribution; Intelligent Protective Method; Microgrid; Signal processing |
| Abstract |
The MicroGrid (MG) is a power system that connects and utilizes renewable energy sources, energy storage systems, and electric vehicles. However, unlike the existing power system, since various power sources are connected to the MG consequently; the MG cannot be protected by the existing protective system. In other words, there exist new protection-related issues in MG. In this paper, we reviewed these issues and also confirmed the effectiveness of existing protective method utilize machine learning; these are is called an intelligent protective methods and have recently been spotlighted. Finally, a comparative analysis was performed between different protective methods using machine learning |