DocumentCode :
2846934
Title :
Power System Fault Estimation under Non-white Noise
Author :
Sen, Zhang ; Jiulong, Wang ; Yun, Yu Deng
Author_Institution :
Inst. of Manned Space Syst. Eng., China Acad. of Space Technol., Beijing, China
Volume :
2
fYear :
2010
fDate :
13-14 Oct. 2010
Firstpage :
73
Lastpage :
77
Abstract :
In this paper, a novel fault detection and isolation filter design method for power distribution in DC electronic system is proposed. The proposed double filter method is a combination of quadratic programming (QP) and Kalman filter which has three main advantages: first, it could estimate the fault position accurately under non-white noise. Second, this is a sequential method which could be used for real-time fault estimation with limited computation. Third, the model is simple and could be used on other circuits without much effort. The performance of the proposed method is verified by numerical simulations.
Keywords :
Kalman filters; fault location; power system faults; quadratic programming; DC electronic system; Kalman filter; double filter method; fault detection; isolation filter design method; nonwhite noise; power distribution; power system fault estimation; quadratic programming; Circuit faults; Equations; Estimation; Integrated circuit modeling; Kalman filters; Mathematical model; Noise; FaultDetection and Isolation; Kalman filter; Quadratic Programming;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent System Design and Engineering Application (ISDEA), 2010 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-8333-4
Type :
conf
DOI :
10.1109/ISDEA.2010.351
Filename :
5743383
Link To Document :
بازگشت