Wavelet-Based Power Network Disturbance Identifying Part I: Theory and Method

被引：0

作者：

Chen, Gang ^{[1
]}

Tang, Ming ^{[1
]}

Ding, Lijie ^{[1
]}

Zhang, Hua ^{[1
]}

机构：

[1] 24 Qinghua Rd, Chengdu 610072, Sichuan, Peoples R China

来源：

PROCEEDINGS OF THE 2015 4TH NATIONAL CONFERENCE ON ELECTRICAL, ELECTRONICS AND COMPUTER ENGINEERING ( NCEECE 2015) | 2016年 / 47卷

关键词：

WAMS; wavelet transform; wavelet coefficient; disturbance identifying;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

It is important that control center operators be alerted to system disturbances, including where, when and what disturbance occurs, so that proper anticipatory actions can be promptly taken if necessary, avoiding oscillation spreads in the power network. In this paper, the wavelet multi-resolution analysis based method is proposed to identify power system disturbances. Energy of wavelet coefficients are used as a criterion to choose optimal wavelet function and decomposition scale, which are then used for obtaining the maximum wavelet coefficients by identifying the frequency signals from wide area measurement system (WAMS). The maximum wavelet coefficients are then selected to be the indicators for disturbance identifying. The detailed procedure and effectiveness of the proposed method is demonstrated by simulations of a 10-machine 39-bus system.

引用

页码：1313 / 1317

页数：5

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