一种实用的不良数据检测与辨识方法  

A Practical Detection and Identification Method for Bad Data

作　　者：史豪杰 

机构地区：[1]南京南瑞继保电气有限公司,江苏南京211106

出　　处：《广东电力》2017年第11期85-89,共5页Guangdong Electric Power

摘　　要：电力系统运行数据规模的不断增长,对电力系统不良数据检测与辨识的准确性和效率提出了更高的要求,为此,探讨一种基于电路分析法的不良数据检测与辨识方法。该方法基于电路基础理论,在电力系统模型参数已知的情况下,将各种接线方式简化为节点模型和支路模型,根据断面量测数据之间存在的电气联系,找出适用于任何节点和支路的不良数据检测与辨识算法。仿真算例表明,该算法简单、实用、计算速度快,能够有效检测并辨识不良数据。Continuous growth of operational data scale of the power system has put forward higher requirements for accuracy and effect in detection and identification for bad data of the power system. Therefore, the paper discusses a kind of detection and identification method for bad data based on electric circuit analysis method. On the basis of basic theory of electric circuit and under the condition of known parameters of the power system model, this method can simplify various connection modes as node models and branch models. Then according to electrical connection among measured data method can find out detection and identification algorithm for bad data of any nodes and branches. Simulation example indicates this algorithm is simple , practical and fast , which is able to effectively detect and identify bad data.

关 键 词：电力系统 不良数据 电路分析法 检测 辨识 

分 类 号：TM744[电气工程—电力系统及自动化]