| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 399151 | International Journal of Electrical Power & Energy Systems | 2006 | 10 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
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Artificial Intelligence
Authors
Ashwani Kumar, Biswarup Das, Jaydev Sharma,