基于小波能量熵的配电网电压暂降源定位方法

Voltage sag source location in distribution networks based on wavelet energy entropy

电压暂降影响敏感性用电设备可靠运行,在生产中造成巨大经济损失,是最严重的电能质量问题之一,暂降源的准确定位对维护电网安全具有重要意义。不同于以往利用小波能量熵进行故障检测,文中创造性地提出了一种基于小波能量熵的电压暂降源定位方法。利用小波能量熵既对突变信号敏感,又可表征信号复杂程度的特点,确定系统中小波能量熵取得最大值的节点即为离暂降源最近的节点,从而缩小故障区域实现定位。通过在Matlab/Simulink中搭建IEEE14节点模型与IEEE33节点模型,结果表明该方法可以有效实现由故障引起的暂降源定位。

Voltage sag affects the safe and stable operation of sensitive electrical equipment and causes huge economic losses,which is one of the most serious power quality problems.Meanwhile,accurate location of sag source is of great significance to maintain the security of power grid.Different from the previous use of wavelet energy entropy for sag identification,a novel method for voltage sag source location based on wavelet energy entropy is proposed.According to the characteristics of wavelet energy entropy,which is sensitive to abrupt signal and characterizes the complexity of signal,the node with the maximum value of wavelet energy entropy is determined as the node nearest to the sag source,so as to reduce the fault area and realize the location.Through building IEEE14 node model and IEEE33 node model in Matlab/Simulink to simulate short circuit fault,the results show that the method can effectively achieve fault location.