大规模电网中电压浪涌故障智能检测方法  

Intelligent detection method of voltage surge fault in large-scale power grid

作　　者：朱东坡 朱岩 谢彬[1] 王国民 王心怡[1] ZHU Dongpo;ZHU Yan;XIE Bin;WANG Guoming;WANG Xinyi(State Network Zhengzhou Power Supply Company,Zhengzhou 450000,China)

机构地区：[1]国网郑州供电公司

出　　处：《自动化与仪器仪表》2019年第11期185-188,共4页Automation & Instrumentation

基　　金：河南省重点研发与推广专项项目(No.182102210131)

摘　　要：针对传统大规模电网中电压浪涌故障检测结果精准度偏低的问题,提出一种新的大规模电网中电压浪涌故障智能检测方法。选用了以实时监测模块为中心的智能监测系统,对大规模电网中的重型机器设备和电网线路电阻进行实时分类监管,通过聚类分析算法将检测到的电网浪涌故障结果进行信息聚类,并利用决策分辨矩阵约束故障信息,根据聚类特征定位电网电压浪涌故障位置,以此实现所提出的智能检测方法。实验结果表明:与传统故障检测方法相比,所提出的电压浪涌故障智能检测方法检测结果的精准度,相比之下提高了18.93%。由此可见,所提出的智能检测方法检测性能更优越。Aiming at the low accuracy of voltage surge fault detection results in traditional large-scale power grids,a new intelligent detection method for voltage surge faults in large-scale power grids is proposed.An intelligent monitoring system centered on the real-time monitoring module is selected to perform real-time classification and supervision on heavy machinery equipment and grid line resistance in a large-scale power grid,and the detected power grid surge failure result by a cluster analysis algorithm.The information clustering is carried out,and the fault information is constrained by the decision discernibility matrix,and the fault location of the grid voltage surge is located according to the clustering feature,so as to realize the proposed intelligent detection method.The experimental results show that compared with the traditional fault detection method,the accuracy of the proposed voltage surge detection intelligent detection method is improved by 18.93%.It can be seen that the proposed intelligent detection method has superior detection performance.

关 键 词：大规模电网 电压浪涌 智能检测系统 监测设备 信息聚类 浪涌定位 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]