A LINEAR RECURSIVE BAD DATA IDENTIFICATION METHOD WITH REAL-TIME APPLICATION TO POWER-SYSTEM STATE ESTIMATION

被引：26

作者：

ZHANG, BM ^{[1
]}

WANG, SY ^{[1
]}

XIANG, ND ^{[1
]}

SLUTSKER, IW ^{[1
]}

机构：

[1] EMPROS SYST INT,PLYMOUTH,MN

来源：

IEEE TRANSACTIONS ON POWER SYSTEMS | 1992年 / 7卷 / 03期

关键词：

STATE ESTIMATION; BAD DATA IDENTIFICATION; ENERGY MANAGEMENT SYSTEM; REAL-TIME APPLICATION;

D O I：

10.1109/59.207357

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：

A fast and efficient algorithm Recursive Measurement Error Estimation Identification (RMEEI) method for bad data analysis is further developed in this paper. By using a set of linear recursive formulae, state variables, residuals and their variances are updated after the removal of a measurement from suspected data set to the remaining data set (or in the reverse direction). Neither a reestimation nor residual sensitivity matrix is needed in the identification process, which increases the computational spend greatly. Digital tests have been done to compare the RMEEI method with other conventional BD identification methods in identification performance and computational speed. The real-time operation experience of the RMEEI method in EMS of the North East China power system control center are also given.

引用

页码：1378 / 1385

页数：8

共 8 条

[1]

BOURSSOLLE F, 1980, IEEE T PAS, V97, P678

[2] BAD DATA-ANALYSIS FOR POWER-SYSTEM STATE ESTIMATION [J].