摘要
随着电力系统规模的不断扩大及电力电子设备的广泛应用,电力系统中谐波污染问题愈发严重。为实现对电力系统谐波的有效检测,本文提出基于改进希尔伯特-黄变换的谐波检测方法。首先提出基于改进镜像延拓的端点效应抑制方法,该方法将波形匹配方法与镜像延拓方法相结合,解决传统镜像延拓方法需对信号有一定程度截断而造成误差较大的问题;同时,引入自适应噪声完全经验模态分解方法,有效解决经验模态分解易产生模态混叠效应、集合经验模态分解结果受噪声影响较大且易产生虚假模态分量的问题。为验证本文所提方法的有效性,设计谐波检测仿真实验及实测信号谐波检测实验。结果表明,本文所提方法可对具有间断点的谐波信号、含高次谐波衰减、突变谐波信号进行有效跟踪与检测。基于本文所提方法在LabVIEW平台中开发谐波检测系统,验证了本文所提方法的准确性及有效性。
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.
作者
杨逸帆
赵兵兵
康迪
甄景龙
张维华
YANG Yifan;ZHAO Bingbing;KANG Di;ZHEN Jinglong;ZHANG Weihua(Aerospace Architecture Design and Research Institute Co.,Ltd,Beijing 100012;Baoji Oified Machinery Co.,Ltd,Baoji,Shaanxi 721000;Bomay Electric Industries Co.,Ltd,Xi’an 710077;Shenzhen Hopewind Electric Co.,Ltd,Shenzhen,Guangdong 518055;Guangxi Science&Technology Normal University,Laibin,Guangxi 546199)
出处
《电气技术》
2022年第5期9-17,共9页
Electrical Engineering
基金
2021年度广西科技师范学院科研基金青年项目(GXKS2021QN013)。
