电网污染条件下的一种基波信号检测方法  

A Detection Method of Power Grid Fundamental Wave in Polluted Conditions

作　　者：张志霞[1] 张欣雨[1] 黄蕊[1] 刘长亮[1] 

机构地区：[1]沈阳农业大学信息与电气工程学院,沈阳110866

出　　处：《电测与仪表》2014年第3期47-53,共7页Electrical Measurement & Instrumentation

基　　金：广州市科技计划资助项目(2011J5200024)

摘　　要：在动态信号污染条件下,传统的电网基波信号的检测方法的性能受到不利影响。文章提出了一种新的自适应陷波滤波器算法。该算法具有圆形的周期轨道,通过调节自身参数来自动跟踪基波信号的变化,从而实现了对污染条件下的电网基波信号的相角、频率和幅值的实时准确的提取。仿真结果表明,自适应陷波滤波器方法对于电网中存在的谐波、电压骤升/骤降/缺口、三相不平衡及其它类型的污染,具有很高的免疫性。该方法结构简单,软、硬件实现起来比较容易。适合应用于分布式电源并网时,电网基波信号信息的准确跟踪,为并网变换器的同步工作提供依据。In dynamic signals polluted conditions, the accuracy of traditional power grid fundamental wave detection algorithm is badly affected by those unexpected signals to some extent. A new adaptive notch filter （ANF） algorithm is proposed in this paper. The algorithm has a round period orbits, and it can track the change of fundamental signal automatically by adjusting its own parameters. Thus, it can extract the power grid fundamental wave in polluted condi- tions accurately in real time. Simulation results show that the ANF can offer a high degree of immunity and insensitivi- ty to harmonics, voltage swells/sags/gap, three-phase unbalanced and other types of pollutions that exist in the grid signal. The structural simplicity of the algorithm makes it desirable from the standpoint in both software and hardware. The products of this research can be applied to get the power grid fundamental wave for the convertors.

关 键 词：污染条件 基波信号 检测 分布式发电 自适应陷波滤波器 

分 类 号：TM933[电气工程—电力电子与电力传动] TM72