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

DOI

10.2991/nceece-15.2016.231How to use a DOI?

Keywords

WAMS; wavelet transform; wavelet coefficient; disturbance identifying.

Abstract

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.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Gang Chen
AU  - Ming Tang
AU  - Lijie Ding
AU  - Hua Zhang
PY  - 2015/12
DA  - 2015/12
TI  - Wavelet-Based Power Network Disturbance Identifying Part I: Theory and Method
BT  - Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering
PB  - Atlantis Press
SP  - 1313
EP  - 1317
SN  - 2352-5401
UR  - https://doi.org/10.2991/nceece-15.2016.231
DO  - 10.2991/nceece-15.2016.231
ID  - Chen2015/12
ER  -