基于改进希尔伯特-黄变换的电力系统谐波检测系统设计

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Abstract With the continuous expansion of the scale of the power system and the widespread use of power electronic equipment, the probem of harmonic polution in the power system has become more and more serious. In order to realize the effective detection of power system harmonics, a harmonic detection method based on the improved Hilbert-Huang transform is proposed. An end capacity effect suppression method based on improved mirror continuationis proposedfirstly, which compares the waveform matching method with the image continuation method. In combination, the problem that the traditional image continuation method needs to truncate the signal to a certain extent, resulting in large errors is solved. At the same time, the full empirical modal decomposition method of adaptive noise is introduced, which effectively solves the problem of modal mixing during empirical modal decomposition, and the problem thatthe overlap effect and the results of ensemble empirical mode decomposition are greatly affected by noise and are prone to produce false modal components. In order to verify the effectiveness of the method proposed in this paper, a harmonic detection experiment and a measured signal harmonic detection experiment are designed. The method proposed in this paper can effectivey track and detect the harmonic signals with discontinuous points, the attenuation of higher harmonics, and the harmonic signals with sudden changes. Based on the method proposed in this paper, a harmonic detection system is developed on the LabVIEW platform, and the result proves the accuracy and effectiveness of the system.

Key words： improved Hilbert-Huang transform harmonic detection end effect modal aliasing

Received: 29 October 2021

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	Articles by authors
	YANG Yifan
	ZHAO Bingbing
	KANG Di
	ZHEN Jinglong
	ZHANG Weihua

Cite this article:

YANG Yifan,ZHAO Bingbing,KANG Di等. Design of power system harmonic detection system based on improved Hilbert-Huang transform[J]. Electrical Engineering, 2022, 23(5): 9-17.

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http://dqjs.cesmedia.cn/EN/Y2022/V23/I5/9

[1] 吴建章, 梅飞, 陈畅, 等. 基于经验小波变换的电力系统谐波检测方法[J]. 电力系统保护与控制, 2020, 48(6): 136-143.
[2] 崔永林, 席燕辉, 张小东. 基于自适应卡尔曼滤波残差分析的谐波检测[J]. 电力系统保护与控制, 2019, 47(24): 92-100.
[3] 陈陈, 李晓明, 杨玲君, 等. 变分模态分解在电力系统谐波检测中的应用[J]. 电力系统保护与控制, 2018, 46(14): 670-677.
[4] NUTTALL A.Some windows with very good sidelobe behavior[J]. IEEE Transactions on Acoustics, Speech, and Signal Processing, 1981, 39(1): 84-91.
[5] TSENG F, SARKAR T, WEINER D.A novel window for harmonic anaysis[J]. IEEE Transactions on Acoustics, Speech, and Signal Processing, 1981, 29(2): 177-188.
[6] GUI Y H, BOLLEN M H J. Estimating interharmonics by using sliding-window ESPRIT[J]. IEEE Transa- ctions on Power Delivery, 2008, 23(1): 13-23.
[7] KARAAGAC U, KOCAR I, MAHSEREDJIAN J, et al.STATCOM integration into a DFIG-based wind park for reactive power compensation and its impact on wind park high voltage ride-through capabiity[J]. Electric Power Systems Research, 2021, 199: 107368.
[8] 程月平, 马国美. 瞬时无功功率理论的小波变换谐波检测法[J]. 仪表技术, 2015(11): 10-13.
[9] 朱宁辉, 白晓民, 董伟杰. 基于EEMD的谐波检测方法[J]. 中国电机工程学报, 2013, 33(7): 92-98.
[10] 关维国, 姚清志, 鲁宝春. 微电网HHT谐波检测与时频分析方法[J]. 计算机工程与应用, 2015, 51(20): 198-202.
[11] 赵莉华, 徐立, 刘艳, 等. 基于点对称变换与图像匹配的变压器机械故障诊断方法[J]. 电工技术学报, 2021, 36(17): 3614-3626.
[12] 郑浩, 谢丽蓉, 叶林, 等. 考虑光伏双评价指标的混合储能平滑出力波动策略[J]. 电工技术学报, 2021, 36(9): 1806-1817
[13] 屈龙腾, 李沛兴, 乔壮壮. 基于变分模态分解和希尔伯特变换的直流纹波检测[J]. 电气技术, 2020, 21(8): 66-86.
[14] 曹玲芝, 刘俊飞, 郑晓婉. 基于EEMD的HHT在电能质量多扰动分类识别中的应用[J]. 电气技术, 2017, 18(4): 66-70.