DocumentCode :
3392875
Title :
Long Transmission Lines Fault Location Based on Parameter Identification Using One-Terminal Data
Author :
Wang, Bin ; Suonan, Jiale ; Liu, Heqing ; Song, Guobing
Author_Institution :
Dept. of Electr. Eng., Xi´´an Jiaotong Univ., Xi´´an, China
fYear :
2012
fDate :
27-29 March 2012
Firstpage :
1
Lastpage :
4
Abstract :
In this paper, an accurate fault location algorithm based on parameter identification using single-ended data is presented. It is inferred from the differential equations of fault state network and fault component network based on the R-L transmission lines model. And it takes the resistance and inductance of the system behind the fault point, the fault distance and fault resistance as unknown variables. These four unknown variables can be expressed by the coefficients of fault location equations and, therefore, can be obtained by solving those coefficients. When it comes to the distributed parameter transmission lines, an improved algorithm, combining filtering and compensating, is carried out to reduce the model error. Theoretical analysis and simulation results prove that this algorithm is of high accuracy and low time-consumption. Besides, it doesn´t need iteration and the solution is unique.
Keywords :
differential equations; parameter estimation; power transmission faults; power transmission lines; R-L transmission line model; differential equations; distributed parameter transmission lines; fault component network; fault distance; fault resistance; long transmission line fault location; one-terminal data; parameter identification; single-ended data; Approximation algorithms; Circuit faults; Fault location; Mathematical model; Parameter estimation; Power transmission lines; Resistance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
Conference_Location :
Shanghai
ISSN :
2157-4839
Print_ISBN :
978-1-4577-0545-8
Type :
conf
DOI :
10.1109/APPEEC.2012.6307349
Filename :
6307349
Link To Document :
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