Identification and tracking of harmonic sources in a power system using a Kalman filter
Journal Article
·
· IEEE Transactions on Power Delivery
OSTI ID:372259
- Illinois Inst. of Tech., Chicago, IL (United States). Dept. of Electrical and Computer Engineering
- Clemson Univ., SC (United States). Dept. of Electrical and Computer Engineering
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 unbalanced 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. Based 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.
- OSTI ID:
- 372259
- Report Number(s):
- CONF-960111--
- Journal Information:
- IEEE Transactions on Power Delivery, Journal Name: IEEE Transactions on Power Delivery Journal Issue: 3 Vol. 11; ISSN 0885-8977; ISSN ITPDE5
- Country of Publication:
- United States
- Language:
- English
Similar Records
Dynamic state estimation of power system harmonics using Kalman filter methodology
Journal Article
·
Tue Oct 01 00:00:00 EDT 1991
· IEEE Transactions on Power Delivery (Institute of Electrical and Electronics Engineers); (United States)
·
OSTI ID:5841556