基于改进小波阈值去噪和CEEMDAN-HT融合的谐波检测技术

doi:10.16180/j.cnki.issn1007-7820.2023.01.009

Abstract

Abstract:

In view of the low accuracy of CEEMDAN harmonic detection of adaptive noise caused by power grid environmental noise, a harmonic detection technology based on improved wavelet threshold denoising and CEEMDAN-HT fusion is proposed in this study. The threshold value is adaptively adjusted by the correction factor T_j, the soft and hard characteristics of the threshold function are adjusted by the adjustable parameter τ, and the improved wavelet threshold denoising method is applied to the preprocessing of harmonic signals. The preprocessed signal is decomposed by CEEMDAN, which can effectively suppress the mode aliasing binding. Relatedness criterion is used to remove false components, and the Hilbert transform is used to demodulate the components containing harmonic characteristics, and the amplitude-frequency information is accurately extracted. MATLAB simulation results show that the fusion algorithm of improved wavelet threshold denoising and CEEMDAN-HT controls the average error of steady-state harmonic detection below 1%, and the average error of transient harmonic detection below 2.1%, showing good anti-noise performance.

Key words: improved wavelet threshold denoising, CEEMDAN, modal aliasing, correction factor, false component, correlation criterion, harmonic detection, Hilbert transform

CLC Number:

TN911

WANG Yumei,ZHENG Yi. Harmonic Detection Technology Based on Improved Wavelet Threshold Denoising and CEEMDAN-HT Fusion[J].Electronic Science and Technology, 2023, 36(1): 60-66.

Figures/Tables 12

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References 19

[1]	卢鹏宇, 刘宏勋. 基于CEEMDAN-UWT降噪的暂态电能质量检测方法[J]. 中国测试, 2020, 46(7):60-67.
	Lu Pengyu, Liu Hongxun. Transient power quality detection method based on CEEMDAN-UWT denoising[J]. China Measurement and Test, 2020, 46(7):60-67.
[2]	张宏恩, 张展, 郭宁. 基于MATLAB的改进FBD谐波检测算法研究[J]. 电子科技, 2018, 31(9):32-35.
	Zhang Hongen, Zhang Zhan, Guo Ning. Research on improved FBD harmonic detection algorithm based on MATLAB[J]. Electronic Science and Technology, 2018, 31(9):32-35.
[3]	孙曙光, 庞毅, 王景芹, 等. 改进的EEMD去噪方法及其在谐波检测中的应用研究[J]. 电工电能新技术, 2016, 35(4): 67-74.
	Sun Shuguang, Pang Yi, Wang Jingqin, et al. Study of improved EEMD denoising method and application in harmonic detection[J]. Advanced Technology of Electrical Engineering and Energy, 2016, 35(4):67-74.
[4]	李志军, 张鸿鹏, 王亚楠, 等. 排列熵-CEEMD分解下的新型小波阈值去噪谐波检测方法[J]. 电机与控制学报, 2020, 24(12):120-129.
	Li Zhijun, Zhang Hongpeng, Wang Yanan, et al. Wavelet threshold denoising harmonic detection method based on permutation entropy-CEEMD decomposition[J]. Electric Machines and Control, 2020, 24(12):120-129.
[5]	胡明, 郭建鹏, 李富强, 等. 基于自适应CEEMD方法的电能质量扰动检测与分析[J]. 电力系统保护与控制, 2018, 46(21):103-110.
	Hu Ming, Guo Jianpeng, Li Fuqiang, et al. Power quality disturbance detection and analysis based on adaptively CEEMD method[J]. Power System Protection and Control, 2018, 46(21):103-110.
[6]	张煜林, 陈红卫. 基于CEEMD-WPT和Prony算法的谐波间谐波参数辨识[J]. 电力系统保护与控制, 2018, 46(12):116-121.
	Zhang Yulin, Chen Hongwei. Parameter identification of harmonics and inter-harmonics based on CEEMD-WPT and Prony algorithm[J]. Power System Protection and Control, 2018, 46(12):116-121.
[7]	张玥, 范伟强, 张琦, 等. 基于EEMD-ICA与SVD的电网谐波检测方法研究[J]. 计算机测量与控制, 2019, 27(3):39-43.
	Zhang Yue, Fan Weiqiang, Zhang Qi, et al. Harmonic separation from grid voltage with EEMD-ICA and SVD[J]. Computer Measurement and Control, 2019, 27(3):39-43.
[8]	任子晖, 成江洋, 邢强, 等. 基于CEEMDAN与Teager能量算子的谐波检测方法[J]. 电力系统保护与控制, 2017, 45(9):56-62.
	Ren Zihui, Cheng Jiangyang, Xing Qiang, et al. A harmonic detection method based on CEEMDAN and Teager energy operator algorithm[J]. Power System Protection and Control, 2017, 45(9):56-62.
[9]	张培玲, 李小真, 崔帅华. 基于改进小波阈值-CEEMDAN算法的ECG信号去噪研究[J]. 计算机工程与科学, 2020, 42(11):2067-2072.
	Zhang Peiling, Li Xiaozhen, Cui Shuaihua. An improved wavelet threshold-CEEMDAN algorithm for ECG signal denoising[J]. Computer Engineering and Science, 2020, 42(11):2067-2072.
[10]	邱彬, 江浩然, 周朋祥, 等. 改进型小波阈值去噪的AEEMD谐波检测算法[J]. 传感器与微系统, 2020, 39(7):115-118.
	Qiu Bin, Jiang Haoran, Zhou Pengxiang, et al. AEEMD harmonic detection algorithm based on improved wavelet threshold denoising[J]. Transducer and Microsystem Technologies, 2020, 39(7):115-118.
[11]	范小龙, 谢维成, 蒋文波, 等. 一种平稳小波变换改进阈值函数的电能质量扰动信号去噪方法[J]. 电工技术学报, 2016, 31(14):219-226.
	Fan Xiaolong, Xie Weicheng, Jiang Wenbo, et al. An improved threshold function method of power quality disturbance signal de-noising based on stationary wavelet transform[J]. Transactions of China Electrotechnical Society, 2016, 31(14):219-226.
[12]	徐长宝, 古庭赟, 高云鹏, 等. 基于改进小波阈值函数和变分模态分解的电能质量扰动检测[J]. 湖南大学学报(自然科学版), 2020, 47(6):77-86.
	Xu Changbao, Gu Tingyun, Gao Yunpeng, et al. Power quality disturbance detection based on improved wavelet threshold function and variational mode decomposition[J]. Journal of Hunan University(Natural Science), 2020, 47(6):77-86.
[13]	卢广森, 黎英, 毛敏. 基于新阈值函数的小波阈值去噪算法[J]. 传感器与微系统, 2017, 36(12):141-144.
	Lu Guangsen, Li Ying, Mao Min. Wavelet threshold de-noising algorithm based on new threshold function[J]. Transducer and Microsystem Technologies, 2017, 36(12):141-148.
[14]	谭莲子, 张莉萍, 解大, 等. 改进小波阈值去噪法在谐波检测中的应用[J]. 电测与仪表, 2019, 56(13):23-26.
	Tan Lianzi, Zhang Liping, Xie Da, et al. Application of improved wavelet threshold de-noising method in harmonic detection[J]. Electrical Measurement and Instrumentation, 2019, 56(13):23-26.
[15]	王维博, 董蕊莹, 曾文入, 等. 基于改进阈值和阈值函数的电能质量小波去噪方法[J]. 电工技术学报, 2019, 34(2):409-418.
	Wang Weibo, Dong Ruiying, Zeng Wenru, et al. A wavelet de-noising method for power quality based on an improved threshold and threshold function[J]. Transactions of China Electrotechnical Society, 2019, 34(2):409-418.
[16]	李晨, 李川, 姜飞, 等. 改进希尔伯特-黄变换在电力系统谐波中的应用[J]. 电子科技, 2018, 31(8):25-30.
	Li Chen, Li Chuan, Jiang Fei, et al. Application of improved hilbert-Huang transform in power system harmonic[J]. Electronic Science and Technology, 2018, 31(8):25-30.
[17]	罗雪莲, 刘桂英, 刘香银. 基于小波变换与希尔伯特-黄变换的微电网暂态电能质量扰动检测及辨识研究[J]. 电力电容器与无功补偿, 2020, 41(3):182-188.
	Luo Xuelian, Liu Guiying, Liu Xiangyin. Study on detection and identification of transient power quality disturbance in microgrid based on wavelet transform and Hilbert-Huang transform[J]. Power Capacitor & Reactive Power Compensation, 2020, 41(3):182-188.
[18]	张敢, 施火泉, 饶琨. 基于HHT谐波与间谐波检测研究[J]. 电源学报, 2019, 17(4):155-161.
	Zhang Gan, Shi Huoquan, Rao Kun. Research on detection of harmonics and inter-harmonics based on HHT[J]. Journal of Power Supply, 2019, 17(4):155-161.
[19]	徐艳春, 高永康, 李振兴, 等. 基于VMD初始化S变换的混合动力系统电能质量扰动检测与分类[J]. 中国电机工程学报, 2019, 39(16):4786-4798.
	Xu Yanchun, Gao Yongkang, Li Zhenxing, et al. Power quality disturbance detection and classification of hybrid power system based on VMD initialization S-transform[J]. Proceedings of the CSEE, 2019, 39(16):4786-4798.

去噪方法	SNR/dB	RMES
软阈值	23.509 6	0.006 7
硬阈值	25.144 4	0.005 9
无修正阈值	26.952 6	0.003 7
改进小波阈值	27.578 6	0.002 8

IMF	相关系数	IMF	相关系数
IMF₁	0.994 0	IMF₅	0.054 2
IMF₂	0.991 3	IMF₆	0.031 8
IMF₃	0.997 8	IMF₇	0.017 4
IMF₄	0.984 6	IMF₈	0.001 6

实际值 /V	EMD+HT		CEEMDAN+HT		本文方法
实际值 /V	检测值 /V	误差 /%	检测值/V	误差 /%	检测值 /V	误差 /%
311.1	286.52	8.59	301.47	3.20	308.62	0.81
31.1	—	—	29.17	6.67	30.89	0.72
24.9	—	—	—	—	24.69	0.81
15.6	—	—	—	—	15.45	0.68

实际值 /V	EMD+HT		CEEMDAN+HT		本文方法
实际值 /V	检测值 /V	误差 /%	检测值/V	误差 /%	检测值 /V	误差 /%
350	—	—	359.69	2.77	351.02	0.29
250	—	—	255.37	2.15	249.14	0.34
150	—	—	146.79	2.14	150.23	0.15
50	47.21	5.58	49.12	1.76	50.07	0.14

Harmonic Detection Technology Based on Improved Wavelet Threshold Denoising and CEEMDAN-HT Fusion

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