Comparison Between WLS and Kalman Filter Method for Power System Static State Estimation

被引：0
|
作者：
Hernandez, Carlos [1 ]
Maya-Ortiz, Paul [1 ]
机构：
[1] Univ Nacl Autonoma Mexico, Mexico City, DF, Mexico
来源：
2015 INTERNATIONAL SYMPOSIUM ON SMART ELECTRIC DISTRIBUTION SYSTEMS AND TECHNOLOGIES (EDST) | 2015年
关键词：
Kalman Filter; Power System; State Estimation;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Traditional state estimators, which are based on steady state system model, cannot capture the time-history data. The problem of state estimation combined with multiple sets of measurements is posed in a Kalman Filtering scheme, using a discrete-time model. In this paper, the power system state estimation process, based on Kalman Filtering techniques is discussed; an IEEE 6-bus test system is used to compare the performance with the Weighted Least Square (WLS) method.
引用
收藏
页码：47 / 52
页数：6
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