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基于小波分析的电力系统振荡与短路识别方法
引用本文: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.
作者姓名:于东民  田有文  张守珍
作者单位: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
摘    要:以小波变换中多分辨分析为基础,研究区分电力系统振荡与短路方法.小波分析能有效地提取电压、电流故障信号中的有用成份,提出一种以能量变化为判据的小波能量法,以识别电力系统振荡和短路.应用MATLAB的PSB工具箱建立振荡和短路仿真模型,应用小波能量法提取电力系统振荡电流与短路电流的小波能量,通过数值分析,识别电力系统振荡与短路.结果分析表明:小波能量法识别电力系统振荡和短路简单便捷,准确有效.小波能量法识别电力系统振荡和短路是十分可行的.

关 键 词:电力系统振荡  短路  小波变换  小波能量法

Recognition Method of Power System Oscillations and Short-circuit Based on Wavelet Analysis
YU Dong-min , TIAN You-wen , ZHANG Shou-zhen.Recognition Method of Power System Oscillations and Short-circuit Based on Wavelet Analysis[J].Journal of Shenyang Agricultural University,2011,42(5):634-637.
Authors:YU Dong-min  TIAN You-wen  ZHANG Shou-zhen
Institution:1.Shenyang Vocational and Technical College,Shenyang 110045,China;2.College of Information and Electrical Engineering,Shenyang Agricultural University,Shenyang 110161,China;3.Kuandian Power Supply Sub Company of Dandong Power Supply Co,Kuandian Liaoning 118200,Chian)
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.
Keywords:the power system oscillations  short-circuit  wavelet transform  wavelet energy method
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