基于电能表暂态扰动特征的停电类型快速研判方法

A Fast Method for Determining Power Outage Types Based on Transient Disturbance Characteristics of Electricity Meters

为了提升停电类型研判的精准度,提出基于电能表暂态扰动特征的停电类型快速研判方法。在电能表暂态扰动特征采样信号内,通过希尔伯特变换方法,提取瞬时基波幅值,利用滑移奇异值分解方法抑制采样信号噪声,获取奇异值特征波形,利用包络极值算法,采集采样信号内主要频率点,获取频谱;提取电能表暂态扰动特征量并使其归一化,判断停电类型。实验证明,所提方法能够精准研判停电类型,具有较好的抗噪性能。

In order to improve the accuracy of power outage type judgment,a fast judgment method of power outage type based on transient disturbance characteristics of electric energy meter is proposed.In the transient disturbance characteristic sampling signal of electric energy meter,the instantaneous fundamental amplitude is extracted by Hilbert transform method,the noise of the sampling signal is suppressed by sliding singular value decomposition method,and the characteristic waveform of singular value is obtained.The main frequency points in the sampling signal are collected by envelope extremum algorithm to obtain the frequency spectrum.The characteristic quantity of transient disturbance of electric energy meter is extracted and normalized to judge the type of power outage.Experiments show that the proposed method can accurately judge the type of power outage,and has good anti-noise performance.