A novel Bad Data Processing algorithm for analog data in substation automation systems

被引：2

作者：

Hyun, Seung Ho ^{[1
]}

Jin, Bogun ^{[2
]}

Lee, Seung Jae ^{[2
]}

机构：

[1] Univ Ulsan, Ulsan 680749, South Korea

[2] Myongji Univ, Yongin, Gyonggido, South Korea

来源：

APPLIED MATHEMATICS AND COMPUTATION | 2008年 / 205卷 / 02期

基金：

欧洲研究理事会;

关键词：

Bad Data Processing; Analog data; Conservative reasoning; Modular approach;

D O I：

10.1016/j.amc.2008.05.137

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

In this paper, a Bad Data Processing (BDP) algorithm for analog data in a substation is suggested. Considering that every substation has a standardized hierarchy and the electric power flows in a fixed direction, rules for detection and correction of bad data are derived through logical analysis of error-symptoms relations. Conservative reasoning combined with modular approach is utilized, in this paper, to enhance the efficiency and reliability of data correction. The rule base used in this paper is constructed through logical analysis of possible errors and their symptoms that may occur. The suggested algorithm is proved to be useful in both convenience and accuracy by excessive application to a substation emulator realized in real-time digital power system simulator. (C) 2008 Elsevier Inc. All rights reserved.

引用

页码：824 / 831

页数：8

共 9 条

[1]

ABBASY NH, 1996, P IEEE SUMM M, P611

[2] DETECTION AND IDENTIFICATION OF TOPOLOGY ERRORS IN ELECTRIC-POWER SYSTEMS [J].