Identification and tracking of harmonic sources in a power system using a Kalman filter

被引：114

作者：

Ma, HL ^{[1
]}

Girgis, AA ^{[1
]}

机构：

[1] CLEMSON UNIV,DEPT ELECT & COMP ENGN,CLEMSON,SC 29634

来源：

IEEE TRANSACTIONS ON POWER DELIVERY | 1996年 / 11卷 / 03期

关键词：

harmonic sources identification; Kalman filter; optimal dynamic estimate; optimal metering locations;

D O I：

10.1109/61.517531

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, two problems have been addressed on harmonic sources identification: the optimal locations of a limited number of harmonic meters and the optimal dynamic estimates of harmonic source locations and their injections in imbalanced three-phase power systems. A Kalman filtering is used to attack these problems. System error covariance analysis by the Kalman filter associated with a harmonic injection estimate determines the optimal arrangement of limited harmonic meters. Eased on the optimally-arranged harmonic metering locations, the Kalman filter then yields the optimal dynamic estimates of harmonic injections with a few noisy harmonic measurements. The method is dynamic and has the capability of identifying, analyzing and tracking each harmonic injection at all buses in unbalanced three-phase power systems. Actual recorded harmonic measurements and simulated data in a power distribution system are provided to prove the efficiency of this approach.

引用

页码：1659 / 1665

页数：7