Title :
Neural networks algorithm for single phase-ground fault location with the distributed capacitor
Author :
Zhongjian, Kang ; Li, Xu ; Songbo, Gou ; Huarong, Jin ; Ruisheng, Li
Author_Institution :
Coll. of Inf. & Control Eng., China Univ. of Pet., Dongying
Abstract :
As for the distributed capacitor not taken into account in the conventional fault location algorithm, a single phase-ground fault location algorithm based on neural network with the distributed capacitor taken into account is proposed in this paper. The proposed algorithm uses neural network to correct the fault location distance dynamically. The MATLAB simulation results and dynamic modal experiments results suggest that the proposed algorithm have a high precision and could overcome the influence of the distributed capacitor and the ground resistance.
Keywords :
earthing; fault location; neural nets; power capacitors; power engineering computing; power system faults; MATLAB simulation; distributed capacitor; dynamic modal experiment; ground resistance; neural network; single phase-ground fault location; Capacitors; Control engineering; Fault location; MATLAB; Mathematical model; Neural networks; Petroleum; Testing; Compensate dynamically; Distributed capacitor; Neural network; Single phase-ground;
Conference_Titel :
Control Conference, 2008. CCC 2008. 27th Chinese
Conference_Location :
Kunming
Print_ISBN :
978-7-900719-70-6
Electronic_ISBN :
978-7-900719-70-6
DOI :
10.1109/CHICC.2008.4604933