Robust dynamic state estimation of power system harmonics

被引：22

作者：

Kumar, A ^{[1
]}

Das, B ^{[1
]}

Sharma, J ^{[1
]}

机构：

[1] Indian Inst Technol, Dept Elect Engn, Roorkee 247667, Uttar Pradesh, India

来源：

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS | 2006年 / 28卷 / 01期

关键词：

dynamic estimation; power system harmonics; Kalman filter;

D O I：

10.1016/j.ijepes.2005.10.004

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：

In this paper, a Robust Extended Kalman Filter (REKF) technique is proposed for dynamic harmonic state estimation. The proposed state estimator is capable of estimating the harmonic states of the power system in real time even in the presence of bad data in the measurements and requires only a few number of actual field measurements, thereby reducing the number of harmonic meters required by this estimator. From the simulation results obtained from IEEE 14 bus test system under various operating conditions, it has been observed that the estimation performance of the proposed technique is always better than the Extended Kalman Filter (EKF) technique. (C) 2005 Elsevier Ltd. All rights reserved.

引用

页码：65 / 74

页数：10

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