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.
| Original language | English |
|---|---|
| Pages (from-to) | 911-917 |
| Number of pages | 7 |
| Journal | Transactions of the Korean Institute of Electrical Engineers |
| Volume | 70 |
| Issue number | 6 |
| DOIs | |
| State | Published - Jun 2021 |
Keywords
- Fault contribution
- Intelligent protective method
- Microgrid
- Neural network
- Signal processing