Skip to main content
U.S. Department of Energy
Office of Scientific and Technical Information

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)
DOI:https://doi.org/10.1109/61.85843· OSTI ID:5628743
 [1]; ;  [2]
  1. Louisiana State Univ., Baton Rouge, LA (United States). Dept. of Chemistry
  2. 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