摘要
为了解决传统HHT在电能质量扰动检测中EMD产生的模态混叠问题,提出一种基于奇异值分解(SVD)的改进HHT的电能质量扰动检测新方法。首先,将初始信号转换为Hankel矩阵进行SVD;再进行奇异值去模态混叠处理并重构信号;最后用HHT方法对重构后的去干扰扰动信号进行分析,求出扰动各固有模态分量imf对应的瞬时幅频参数,以实现扰动检测。仿真结果表明改进HHT方法比传统HHT与基于EEMD的HHT方法对带有噪声与高频间断信号的扰动信号能更好地消除模态混叠,不仅适用于单一暂态扰动检测,对复杂非平稳扰动也能取得较好效果。
In order to solve the problem of modal aliasing caused by EMD in power quality disturbance detection with traditional HHT,the paper proposes a modified HHT method for the power quality disturbance detection based on singular value decomposition.Firstly,the initial signal is converted into a Hankel matrix for SVD.Then singular value modal aliasing processing is performed and the signal is reconstructed.Finally,the modified HHT method is used to analyze the reconstructed disturbance-rejection disturbed signal and obtain the instantaneous amplitude-frequency parameter corresponding to the intrinsic mode component imf for the disturbance,realizing the disturbance detection.The simulation results show that the modified HHT method can better eliminate the modal aliasing for signals with noisy and high-frequency discontinuous signals compared with the traditional HHT method and the EEMD-based HHT method.This method is not only suitable for single transient disturbance detection,but also can achieve good results for complex nonstationary disturbances.
作者
徐佳雄
张明
王阳
程郴
何顺帆
XU Jiaxiong;ZHANG Ming;WANG Yang;CHENG Chen;HE Shunfan(School of Electronic and Electrical Engineering,Wuhan Textile University,Wuhan 430200,China;College of Computer Science,South-Central University for Nationalities,Wuhan 430074,China)
出处
《智慧电力》
北大核心
2021年第1期1-8,共8页
Smart Power
基金
国家自然科学基金资助项目(61903384,51477124)。
