Application of Machine Learning algorithms for power systems fault detection

被引：2

作者：

Bouchiba, Nouha ^{[1
]}

Kaddouri, Azeddine ^{[1
]}

机构：

[1] Univ Moncton, Elect Engn Dept, Moncton, NB, Canada

来源：

2021 9TH INTERNATIONAL CONFERENCE ON SYSTEMS AND CONTROL (ICSC'21) | 2021年

关键词：

LOCATION;

D O I：

10.1109/ICSC50472.2021.9666726

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper deals of the application of deep-learning and support vector machine algorithms for the power system fault detection. The power system considered is a standard IEEE 14-bus. Faults are integrated to the power system and simulated using SimPowerSystems toolbox of Matlab. All data obtained, the voltages and the currents of each bus, are saved and used to test both algorithms. Simulation results show the superiority of the deep-learning algorithm compared with support vector machines algorithm.

引用

收藏

页码：127 / 132

页数：6

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