小波包改进重构算法在非线性负荷电能计量中的应用

系统仿真学报 ›› 2015, Vol. 27 ›› Issue (11): 2822-2828.

小波包改进重构算法在非线性负荷电能计量中的应用

蔡华龙^1,2, 肖坤²

1.武汉大学水资源与水电工程科学国家重点实验室,湖北武汉 430072;
2.雅砻江流域水电开发有限公司,四川成都 610051

收稿日期:2014-12-26 修回日期:2015-03-29 出版日期:2015-11-08 发布日期:2020-08-05
作者简介:蔡华龙(1977-),男,湖南常德,回族,博士生,研究方向为水利、电能测量及信息化;肖坤(1987-),男,湖南常德,硕士生,研究方向为电力生产及运营。
基金资助:
国家自然科学基金(61370073)

Application of Wavelet Packet Improved Reconstruction Algorithm to Energy Measurement of Non-linear Loads

Cai Hualong^1,2, Xiao Kun²

1. State Key Laboratory of Water Resource and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China;
2. Yalong River Hydropower Development Company, Ltd. , Chengdu 610051, China

Received:2014-12-26 Revised:2015-03-29 Online:2015-11-08 Published:2020-08-05

摘要/Abstract

摘要： 为对非线性负荷电能的准确计量,提出基于离散小波包分解与重构算法的谐波电能计量改进方法。通过采样点数、窗口宽度及频率,确定频带宽度和离散小波包分解层数;为改进小波滤波器的非理想截止特性,消除其频率混叠问题,利用离散Fourier变换及其逆变换去掉各子带中多余频率成分,对单子带重构算法进行改进;给出谐波功率计算式与谐波电能计量原理。利用db40小波函数进行谐波电能计量数值仿真,克服离散小波包变换中存在频率混叠现象的固有缺陷,验证了该算法的有效性与计量精度,为电力系统谐波、间谐波和时变谐波分量的精确检测提供一种有效手段。

关键词: 非线性负荷, 谐波电能计量, 离散小波包变换, 单子带重构, 频率混叠

Abstract: In order to realize high-accuracy measurement of nonlinear loads, an improved algorithm of harmonic energy measurement based on discrete wavelet packet decomposition and reconstruction was proposed. Frequency band and the corresponding number of decomposition layer were given according to the sampling number, window width and sampling frequency. To improve the non-ideal cut-off characteristic of wavelet filter and eliminate the frequency aliasing, the discrete Fourier and the inverse transformation were used to remove the extra frequency components. The calculation expression of harmonic power and the principle of harmonic energy measurement were listed. The simulation analysis of harmonic energy measurement using db40 wavelet function indicated that the improved algorithm presented restrained frequency aliasing to a certain extent, and it could provide an effective method for accurately detecting harmonic, inter-harmonic and time-varying harmonic of electrical power system.

Key words: non-linear loads, harmonic energy measurement, discrete wavelet packet transforms, single-band reconstruction, frequency aliasing

中图分类号:

TM993

蔡华龙, 肖坤. 小波包改进重构算法在非线性负荷电能计量中的应用[J]. 系统仿真学报, 2015, 27(11): 2822-2828.

Cai Hualong, Xiao Kun. Application of Wavelet Packet Improved Reconstruction Algorithm to Energy Measurement of Non-linear Loads[J]. Journal of System Simulation, 2015, 27(11): 2822-2828.

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