USE OF SCALING IN WLAV ESTIMATION OF POWER-SYSTEM STATES

被引：35
作者：
CELIK, MK
ABUR, A
MILI, L
VICHARE, NS
SINGH, H
HU, Y
ELKEIB, AA
机构：
[1] UNIV WISCONSIN,MADISON,WI 53706
[2] VIRGINIA POLYTECH INST & STATE UNIV,BLACKSBURG,VA 24061
来源：
IEEE TRANSACTIONS ON POWER SYSTEMS | 1992年 / 7卷 / 02期
基金：
美国国家科学基金会;
关键词：
LINEAR PROGRAMMING; LEAST ABSOLUTE VALUE ESTIMATION; OUTLIERS; POWER SYSTEM STATE ESTIMATION; LEVERAGE POINTS; SCALING;
D O I：
10.1109/59.141774
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：
Scaling has been widely used in linear programming problems for numerical stability and computational efficiency. This paper investigates the effectiveness of scaling in avoiding the leverage points in weighted least absolute value (WLAV) estimation of power system states. Existence of leverage points was claimed to be the reason for the WLAV estimator failing to reject bad data in the measurements. Simulation results indicate that scaling not only helps to reduce the leveraging effects but also improves the computational performance by decreasing the required number of Simplex iterations.
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页码：684 / 692
页数：9
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