Disturbance and Detection Method Based Power Quality

被引:0
作者
Zhang, Jingyue [1 ]
机构
[1] North China Elect Power Univ, Baoding 071000, Peoples R China
来源
4TH INTERNATIONAL CONFERENCE ON ENERGY SCIENCE AND APPLIED TECHNOLOGY (ESAT 2018) | 2019年 / 2066卷
关键词
Disturbance Identification; Disturbance Detection; Wavelet Transform; S Transform;
D O I
10.1063/1.5089055
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Due to the increasing diversification of power sources and power loads, power quality disturbance signals in power systems have become increasingly complex and diverse. At the same time, a large number of high-precision and high-sensitivity electrical equipment have continuously improved the power quality requirements for power supply. This poses a huge challenge to the governance of power quality. The premise of power quality management is to correctly detect and identify these disturbance signals. This paper studies the power quality detection methods, and summarizes several commonly used power quality disturbance detection methods and identification methods, which lays a foundation for the further study of power quality disturbance problems.
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页数:5
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