基于滤波器组和小波包变换的超高次谐波检测方法  

Supraharmonic Detection Method Based on Filter Bank and Wavelet Packet Decomposition

作　　者：王江涛 李贻涛[1] 姜林 周茉 WANG Jiangtao;LI Yitao;JIANG Lin;ZHOU Mo(Northeast Electric Power University,Jilin 132012,China;Changchun Huaxin Power Complete Equipment Company Limited,Changchun 130021,China;Huadian Jilin Energy Company Limited,Changchun 130021,China)

机构地区：[1]东北电力大学,吉林吉林132012 [2]长春华信电力成套设备有限公司,长春130021 [3]华电吉林能源有限公司,长春130021

出　　处：《吉林电力》2023年第5期10-13,17,共5页Jilin Electric Power

基　　金：吉林省科技厅“十四五”科学技术研究项目(JJKH20230120KJ)。

摘　　要：随着分布式可再生能源占比的逐渐增加及电动汽车充电桩等设备的广泛应用,低压配电网中超高次谐波问题日益严重。由于超高次谐波具有高频率、宽频域的特点,进行超高次谐波检测时要处理的数据量大、检测速度慢,同时超高次谐波还具有时变性,传统以傅里叶变换为原理的检测方法难以对非平稳信号进行检测。针对上述问题,应用模拟滤波器组对信号进行下采样,降低采样频率,减少检测过程中要处理的数据量;应用小波包算法检测时变的超高次谐波分量。仿真计算结果表明,所提方法能够准确测量信号中的超高次谐波分量,计算速度较快,并可以对非平稳信号进行检测。With the increasing content of distributed renewable energy mainly photovoltaic and wind power in the power grid and the wide application of electric vehicle charging piles,the problem of supraharmonics in low-voltage distribution networks becomes more and more serious.Due to the characteristics of high frequency and wide frequency domain,the detection of supraharmonics requires a large amount of data and slow detection speed.In addition,the detection of supraharmonics also has time variability.Traditional detection methods based on Fourier transformation are difficult to detect non-stationary signals.To solve the above problems,an analog filter bank is used to subsample the signal,reduce the sampling frequency,and reduce the amount of data to be processed in the detection process,and the wavelet packet decomposition is used to detect the time-varying supraharmonics components.The simulation results show that the proposed method can accurately measure the supraharmonics components in the signal,the calculation speed is fast,and the non-stationary signal can be detected.

关 键 词：超高次谐波 模拟滤波器组 小波包变换 检测方法 

分 类 号：TM714[电气工程—电力系统及自动化]