Title :
Fault detection using sequential probability ratio test
Author :
Li, X. Rong ; Wang, Lu
Author_Institution :
Dept. of Electr. Eng., New Orleans Univ., LA, USA
fDate :
31 Jan-4 Feb 1999
Abstract :
This paper describes a method for detecting power system faults based on the sequential probability ratio test (SPRT) and Kalman filter. The SPRT is the optimal statistical test that makes the correct decision in the shortest time among all tests that are subject to the same level of decision errors. Simulation results are provided to show the superiority of the proposed method.
Keywords :
Kalman filters; fault location; power system faults; power system protection; power system simulation; power system state estimation; probability; statistical analysis; Kalman filter; decision errors; fault detection; fault location; fault voltage; optimal statistical test; power system faults detection; power system protection; power system state estimation; sequential probability ratio test; simulation; Electrical fault detection; Error correction; Fault detection; Power system faults; Power system protection; Power system simulation; Probability; Sampling methods; Sequential analysis; System testing;
Conference_Titel :
Power Engineering Society 1999 Winter Meeting, IEEE
Print_ISBN :
0-7803-4893-1
DOI :
10.1109/PESW.1999.747296
