用Matlab小波包求功率频带分解规律  

Frequency Band Decomposition Rules of Calculating Power Using Matlab Wavelet Packet

作　　者：郑常宝[1] 段晓波[2] 李晓明[2] 

机构地区：[1]安徽大学电子科学与技术学院,合肥230039 [2]河北省电力研究院,石家庄050021

出　　处：《电测与仪表》2010年第6期22-24,51,共4页Electrical Measurement & Instrumentation

基　　金：安徽省教育厅重点科研资助项目(KJ2009A144);安徽省高等学校省级优秀青年基金自护项目(2009SQRZ098)

摘　　要：小波包能够对信号进行更加精细的分析,对电压和电流进行小波包分解,用电压和电流的分解系数可求出有功功率和无功功率等参数。Matlab小波包的频带分解规律是信号经小波包分解后,每个节点对应的谐波个数为所能分析的最高谐波次数除以其所在层的节点数;对低频节点进一步分解时,其低频部分向左分解,高频部分向右分解;对高频节点进一步分解时,其低频部分向右分解,高频部分向左分解。仿真结果验证了分解规律。Wavelet packet can decompose signals more finely.A voltage signal and a current signal are decomposed using wavelet packet,and active power and reactive power can be calculated using the coefficients.Frequency band decomposition rules of Matlab wavelet packet are researched.The rules are that harmonics number of every node is division of highest harmonics time by node number,the low frequency part of low frequency node is decomposed left and its high frequency part is decomposed right,the low frequency part of high frequency node is decomposed right,and its high frequency part is decomposed left.Simulation results validate the rule.

关 键 词：小波包 功率 频带 分解规律 MATLAB 

分 类 号：TM761[电气工程—电力系统及自动化]