Power system fault detection and state estimation using Kalman filter with hypothesis testing
Journal Article
·
· IEEE Transactions on Power Delivery (Institute of Electrical and Electronics Engineers); (United States)
- Louisiana State Univ., Baton Rouge, LA (United States). Dept. of Chemistry
- Louisiana State Univ., Baton Rouge, LA (United States). Dept. of Electrical and Computer Engineering
This paper describes an algorithm for detecting power system faults and estimating the pre- and post-fault steady state values of the voltages and currents. The proposed algorithm is based on the Kalman filter and hypothesis testing. It is shown that a power system fault is ideally suited for single sample hypothesis testing. Test results are included.
- OSTI ID:
- 5628743
- Journal Information:
- IEEE Transactions on Power Delivery (Institute of Electrical and Electronics Engineers); (United States), Journal Name: IEEE Transactions on Power Delivery (Institute of Electrical and Electronics Engineers); (United States) Vol. 6:3; ISSN 0885-8977; ISSN ITPDE
- Country of Publication:
- United States
- Language:
- English
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