智能电网电缆节点异常故障自动检测技术

Automatic detection technology of cable node anomaly in smart grid

为了提高电网电缆的异常故障检测能力,提出一种基于电网传输电流异常谱特征提取的智能电网电缆异常故障节点自动检测算法,建立电网的电缆异常故障节点信息融合模型,进行电网输出电流信息的异常波谱特征分析,在信息融合过程中,组成新的智能电网电缆接收端和发射端,根据电网电缆的传输电流接收异常波束,进行异常故障节点的智能定位,结合自适应波束定位方法,实现对智能电网电缆中异常故障节点智能检测。仿真结果表明,采用该方法进行智能电网电缆节点异常故障自动检测的精度较高,性能较好。

In order to improve the ability of abnormal fault detection of power cable,an automatic detection algorithm for cable abnormal node in smart grid is proposed based on the feature extraction of abnormal spectrum of transmission current,and the information fusion model of abnormal node of cable in power network is established.In the process of information fusion,a new smart grid cable receiver and transmitter are formed,and the abnormal beam is received according to the transmission current of power grid cable.Intelligent location of abnormal fault nodes is carried out and intelligent detection of abnormal fault nodes in smart grid cables is realized by combining adaptive beam localization method.The simulation results show that the method has high accuracy and good performance for automatic fault detection of cable nodes in smart grid.