电力系统配电线路连锁故障自动检测方法研究

Study on automatic detection method for cascading faults of distribution lines in power system

电力系统配电线路网络由于供电节点分配的随机性容易导致输电配电连锁故障,需要进行电力系统配电线路连锁故障自动检测研究,提出一种基于大数据融合和故障节点主动定位的电力系统配电线路连锁故障自动检测算法。构建电力系统的输出电流均衡配置模型,根据电力系统配电线路的节点分布进行输电配电的自动控制和均衡分配,在输电配电系统中进行输电配电信号的频谱特征提取,采用支持向量机学习技术进行电力系统配电线路连锁故障特征点的自主定位,结合匹配滤波检测方法进行电力系统配电线路信号的连锁故障特征检测,根据检测结果进行电力系统配电线路的连锁故障自动检测和修复。采用故障节点主动定位技术进行电力系统配电线路连锁故障修复,实现连锁故障自动检测。仿真结果表明,采用该算法进行电力系统配电线路连锁故障自动检测的准确性较高,故障修复能力较强,提高了电力系统配电线路的输电配电质量。

Due to the randomness of distribution node distribution in power system,transmission and distribution cascading faults are easy to be caused,so it is necessary to study the automatic detection of power distribution line cascading faults.This paper presents an automatic detection algorithm for cascading faults of distribution lines in power system based on big data fusion and active location of fault nodes.The output current equilibrium configuration model of the power system is constructed.According to the node distribution of the distribution line of the power system,the automatic control and balanced distribution of the transmission and distribution are carried out,and the spectrum features of the transmission and distribution signals are extracted in the transmission and distribution system.The support vector machine(SVM)learning technique is used to locate the feature points of power distribution line cascading faults,and the matched filter detection method is used to detect the cascading fault features of power system distribution line signals.According to the test results,automatic detection and repair of cascading faults of power system distribution lines are carried out.Fault node active location technique is used to repair cascading faults of power distribution lines and automatic detection of cascading faults is realized.The simulation results show that the algorithm has high accuracy and strong fault repair ability for automatic detection of cascading faults of distribution lines in power system,and improves the transmission and distribution quality of distribution lines in power systems.