Identifying multiple interacting bad data in power system state estimation

被引：0

作者：

Asada, EN ^{[1
]}

Garcia, AV ^{[1
]}

Romero, R ^{[1
]}

机构：

[1] UNICAMP, FEEC, DSEE, Sch Elect & Comp Engn, Campinas, Brazil

来源：

2005 IEEE POWER ENGINEERING SOCIETY GENERAL MEETING, VOLS, 1-3 | 2005年

关键词：

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

This paper presents an intelligent search strategy for the conforming bad data errors identification in the generalized power system state estimation, by using the tabu search meta heuristic. The main objective is to detect critical errors involving both analog and topology errors. These errors are represented by conforming errors, whose nature affects measurements that actually do not present bad data and also the conventional bad data identification strategies based on the normalized residual methods.

引用

页码：571 / 577

页数：7

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