基于神经网络的智能变电站二次回路节点电压故障定位研究  

Research on Voltage Fault Location of Secondary Circuit Node in Intelligent Substation Based on Neural Network

作　　者：杨爽 YANG Shuang(State Grid Sichuan Electric Power Company Meishan Power Supply Company,Meishan 620010,China)

机构地区：[1]国网四川省电力公司眉山供电公司,四川眉山620010

出　　处：《通信电源技术》2024年第18期28-30,共3页Telecom Power Technology

摘　　要：为解决继电保护二次回路节点电压故障定位问题,文章设计一种基于神经网络的智能变电站二次回路节点电压故障定位方法。首先建立一个二次回路节点电压的数据库,并分析故障数据,识别电压异常的特征;其次生成故障状态矩阵,对比实时监测数据;最后构建故障定位模型,实现对智能变电站二次回路节点电压故障的准确定位。实验结果显示,该方法对9个故障样本的定位准确率达88.9%,准确性较高,在处理多点故障方面表现出较强的能力。To solve the problem of voltage fault location in secondary circuit nodes of relay protection,this article designs an intelligent substation secondary circuit node voltage fault location method based on neural network.Firstly,establish a database of secondary circuit node voltages and analyze fault data to identify the characteristics of voltage anomalies.Next,generate a fault status matrix and compare it with real-time monitoring data.Finally,a fault localization model is constructed to accurately locate voltage faults in the secondary circuit nodes of intelligent substations.The experimental results show that the method has a localization accuracy of 88.9%for 9 fault samples,with high accuracy and strong ability in handling multi-point faults.

关 键 词：智能变电站 二次回路 节点电压 故障定位 

分 类 号：TM63[电气工程—电力系统及自动化]