基于小波变换的负荷谐波概率密度函数分析  

Analysis on harmonic probability density function with wavlet

作　　者：杨宏伟 郭立杰 YANG Hongwei;GUO Lijie(State Grid Beijing Tongzhou Electric Supply Company,Beijing 101101,China;State Grid Beijing Changping Electric Supply Company,Beijing 102200,China)

机构地区：[1]国网北京通州供电公司,北京101101 [2]国网北京昌平供电公司,北京102200

出　　处：《黑龙江电力》2020年第6期503-507,共5页Heilongjiang Electric Power

摘　　要：针对电能质量测试中有效值对参数估计的影响,基于正交基函数,提出一种不同时间尺度有效值转化方法。该方法对有效值数据的概率密度函数进行小波分解,然后进行Gram-Schmidt正交化,通过3 s有效值和200 ms有效值的关系,得出200ms概率密度函数和3 s有效值的关系。对所提方法进行仿真验证,结果验证了方法的有效性。Aiming at the influence of root mean square(RMS)on parameter estimation in power quality test,a RMS conversion method with different time scales is proposed based on orthogonal basis function.In this method,the probability density function of RMS data is decomposed by wavelet,then the orthogonalization of Gram-Schmidt is carried out,and the relationship between 200 ms probability density function and 3 s RMS is obtained by the relationship between 3 s RMS and 200 ms RMS.The proposed method is verified by simulation,and the results verify the validity of the method.

关 键 词：小波变换 3 s有效值 200 ms有效值 正交基函数 微分跟踪器 

分 类 号：TM76[电气工程—电力系统及自动化]