对变电站不良数据进行检测的研究  

Research on Detection Technology of Bad Quality Data in Digital Substation

作　　者：黄佳胤[1] 张弛[1] 丁晓兵[1] 刘刚[2] HUANG Jiayin;ZHANG Chi;DING Xiaobing;LIU Gang(China Southern Power Grid Power Dispatching and Control Center,Guangzhou 510663;Beijing Sifang Relay Automation Co.,Ltd.,Beijing 100085)

机构地区：[1]中国南方电网电力调度控制中心,广州510663 [2]北京四方继保自动化有限公司,北京100085

出　　处：《计算机与数字工程》2020年第7期1810-1817,共8页Computer & Digital Engineering

摘　　要：智能电网需要实时、安全和准确的采样数据,然而目前许多变电站没有提供对不良采样数据的检测功能。为此,该文提出了一种能够在变电站中执行的不良数据采样检测算法。该算法首先通过标准变电站描述文件解析出断路器、隔离器的物理连接和电网拓扑,然后采用基于线性加权最小二乘(WLS)的状态估计算法,识别出故障电流互感器的不良数据。通过对不同类型不良采样数据检测的验证,结果表明无论在静态还是故障情况下,不良数据检测算法的输出都比测量仪表和保护电流互感器(CT)的输出具有更高的数据精度。Smart grids require real-time,secure and accurate sampling of data.Current research focuses on technologies that provide low latency and secure data links for smart grids.Therefore,this paper proposes a bad sampling data detection algorithm that can be implemented in a substation.The algorithm realizes the automatic detection of the substation topology by analyzing the standard substation description file and the online state of the circuit breaker and isolator,and uses the linear weighted least squares(WLS)state estimation algorithm to detect the fault current transformer.By verifying different types of bad data,the results show that the output of the bad data detection algorithm has higher data accuracy than the output of the measuring instrument and the protection current transformer(CT)in both static and fault conditions.

关 键 词：线性WLS 不良数据检测 母线采样数据 数字化变电站 

分 类 号：U665.12[交通运输工程—船舶及航道工程]