沈阳农业大学学报2011，Vol.42Issue(5)：634-637,4.
基于小波分析的电力系统振荡与短路识别方法
Recognition Method of Power System Oscillations and Short-circuit Based on Wavelet Analysis
于东民 1田有文 2张守珍3
作者信息
- 1. 沈阳职业技术学院,沈阳110045
- 2. 沈阳农业大学信息与电气工程学院,沈阳110161
- 3. 丹东供电公司宽甸供电分公司,辽宁宽甸118200
- 折叠
摘要
Abstract
Based on multiresolution analysis in wavelet transform, the method of distinction between the power oscillations and short-circuit was studied. Wavelet analysis could effectively extract the useful voltage and current signal components. Wavelet energy method was put up, which distinguish between the power oscillations and short-circuit. The toolbox of PSB set was MATLAB was used to establish simulation model for system oscillations and fault currents. The Wavelet energy of the power oscillations and short-circuit was obtained through wavelet energy method. The test results showed that wavelet energy method was easy to done and could effectively distinguish between the power system oscillations and short-circuit. The wavelet energy method was extremely practicable for distinguish between the power system oscillations and short-circuit.关键词
电力系统振荡/短路/小波变换/小波能量法Key words
the power system oscillations/ short-circuit/ wavelet transform/ wavelet energy method分类
建筑与水利引用本文复制引用
于东民,田有文,张守珍..基于小波分析的电力系统振荡与短路识别方法[J].沈阳农业大学学报,2011,42(5):634-637,4.
