具有容错能力的电能质量扰动源定位方法

为改善传统符号型定位方法的不足,实现扰动信息不可靠时扰动源的准确定位,提出一种基于遗传算法的电能质量扰动源定位方法。通过对扰动信号高频分量产生机理的分析,利用小波变换提取高频分量,将高频扰动能量的极性作为扰动方向判别的依据,给出了一种扰动方向判别的通用算法。根据系统拓扑结构及监测点布置情况,建立了扰动源定位优化模型,将扰动源定位问题转化成为0-1整数规划问题,采用遗传算法进行求解。仿真结果表明该方法具有定位准确,容错能力强等优点,为扰动源定位问题提供了一种新的解决思路。

An algorithm for power quality disturbance source positioning with fault-tolerant capability

In order to improve the deficiencies of the traditional symbolic positioning method and position the disturbance source accurately when the disturbance information is unreliable, a positioning algorithm of power quality disturbance source based on the genetic algorithm is proposed. Through analyzing the mechanism of the high frequency component of the disturbance signal, the high frequency components are extracted by using wavelet transform, and the polarity of the high frequency disturbance energy is used as the discrimination basis for the disturbance direction, a general algorithm of the disturbance determination is given. According to the topology of the system and the arrangement of monitoring points, an optimization model of the disturbance source localization is established. It makes the disturbance source location problem transform into 0-1 integer programming problem and uses the genetic algorithm to get the results. The simulation results show that this method has accurate orientation and strong fault tolerant ability etc, which provides a new solution for the disturbance source location problem.