基于电力系统高压生产设备电气故障自动化监测技术  

Automatic Electrical Fault Monitoring Technology Based on High Voltage Production Equipment of Power System

作　　者：范建军 Fan Jianjun(Power Supply Branch of Guoneng Xinshuo Railway Co.,Ltd.,Erdos,China)

机构地区：[1]国能新朔铁路有限责任公司供电分公司,内蒙古鄂尔多斯

出　　处：《科学技术创新》2025年第2期19-22,共4页Scientific and Technological Innovation

摘　　要：本文提出了一种基于电力系统高压设备的电气故障自动化监测技术,通过运维结构模型和链路均衡控制模型优化故障信息分析,利用三维数据重组和高阶统计量方法提取故障特征,并通过三维相空间重构实现故障数据的可视化和自动化诊断。仿真实验结果显示,该技术能准确快速检测和定位故障,显著提升电力系统的自动化监测能力。In this paper,an automatic electrical fault monitoring technology based on high voltage equipment of power system is proposed.The fault information analysis is optimized by operation and maintenance structure model and link equalization control model.The fault characteristics are extracted by three-dimensional data recombination and high order statistics method,and the fault data is visualized and automatically diagnosed by three-dimensional phase space reconstruction.The simulation results show that this technology can detect and locate faults accurately and quickly,and significantly improve the automatic monitoring ability of power system.

关 键 词：电力系统 高压生产设备 自动化监测 故障诊断 三维数据重组 

分 类 号：TM762[电气工程—电力系统及自动化]