PMU数据用于SCADA时滤除低频干扰的方法

发布时间：2018-04-23 11:48

本文选题：电网 + 低频振荡　；参考：《电力系统自动化》2016年02期

【摘要】：广域测量系统采集的相量测量单元(PMU)数据越来越广泛应用于电网数据采集与监控系统,由于PMU采用的快速傅里叶变换算法无法区分工频信号和低频干扰,PMU采集的工频变量数据中包含低频振荡扰动成分,将影响电网稳态计算和分析的正确性。为了提取PMU采集数据中的工频变量,以低频强迫振荡为例,分析了低频振荡对PMU采集工频变量的影响,利用计算PMU采集数据的上包络和下包络并求出均值的方法,提出了一种分离PMU采集数据中低频干扰以获取工频变量的方法。通过对低频强迫振荡时PMU采集的实际电网数据进行分析,验证了文中所提方法的正确性。理论分析和实际PMU数据分析结果表明,所提方法能够快速准确提取PMU采集数据中的工频变量,对于提高PMU数据在电网稳态分析和动态监测中的利用价值,具有重要意义和较大价值。
[Abstract]:The phasor measurement unit (PMU) data collected by wide area measurement system is more and more widely used in power network data acquisition and monitoring system. Because the fast Fourier transform (FFT) algorithm adopted by PMU can not distinguish between the power frequency signal and the power frequency variable data collected by low-frequency disturbance, it will affect the correctness of the steady-state calculation and analysis of power network. In order to extract the power frequency variable from PMU data, the influence of low frequency oscillation on the power frequency variable of PMU acquisition is analyzed. The method of calculating the upper envelope and lower envelope of PMU data and calculating the mean value are used. A method of separating low frequency interference from PMU data to obtain power frequency variables is proposed. The validity of the proposed method is verified by analyzing the actual power grid data collected by PMU under low frequency forced oscillation. The results of theoretical analysis and practical PMU data analysis show that the proposed method can quickly and accurately extract the power frequency variables from the data collected by PMU, and improve the utilization value of PMU data in the steady-state analysis and dynamic monitoring of power network. It is of great significance and great value.
【作者单位】：华北电力大学电气与电子工程学院;包头供电局;
【分类号】：TM933.313

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