Bad data identification when using ampere measurements

被引：12
|
作者：
Abur, A [1 ]
Exposito, AG [1 ]
机构：
[1] UNIV SEVILLE,DEPT ELECT ENGN,SEVILLE,SPAIN
来源：
IEEE TRANSACTIONS ON POWER SYSTEMS | 1997年 / 12卷 / 02期
基金：
美国国家科学基金会;
关键词：
bad data identification; line current measurements; state estimation;
D O I：
10.1109/59.589708
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Earlier papers have shown that the use of line current magnitude measurements may lead to non-uniquely observable systems. This paper studies the bad data identification problem under these conditions. The definition of measurement criticality is revised in order to account for the non-uniquely observable cases. The problem of bad data identification is investigated both as a post estimation problem when using the least squares estimation method and as an outlier rejection problem when using the least absolute value estimation method. Modifications to the existing bad data processing methods are proposed in order to account for the current magnitude measurements.
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页码：831 / 836
页数：6
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