Challenging issues and intelligent protective methods for microgrid protection

被引：0

作者：

Kim-Jin J.-S. ^{[1
]}

Song-Gwang S. ^{[1
]}

Shin-Ho S. ^{[1
]}

Kim-Chul Y. ^{[1
]}

Kim H. ^{[2
]}

机构：

[1] Dept. of Electrical and Computer Engineering, Sungkyunkwan University

[2] Dept. of Electronic and Electrical Engineering, Sungkyunkwan University

来源：

Transactions of the Korean Institute of Electrical Engineers | 2021年 / 70卷 / 06期

基金：

新加坡国家研究基金会;

关键词：

Fault contribution; Intelligent protective method; Microgrid; Neural network; Signal processing;

D O I：

10.5370/KIEE.2021.70.6.911

中图分类号：

学科分类号：

摘要：

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. Copyright © 2021 The Korean Institute of Electrical Engineers.

引用

页码：911 / 917

页数：6

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