DocumentCode :
2369151
Title :
Time domain fault location on transmission lines using genetic algorithm
Author :
Davoudi, Masoud Ghiafeh ; Sadeh, Javad ; Kamyab, Ebadollah
Author_Institution :
Dept. of Electr. Eng., Ferdowsi Univ. of Mashhad, Mashhad, Iran
fYear :
2012
fDate :
18-25 May 2012
Firstpage :
1087
Lastpage :
1092
Abstract :
This paper presents a new method for determining the fault location on two-terminal transmission lines using genetic algorithm. Distributed time-domain model of the transmission line is used to derive the fault location equations; therefore, impact of shunt capacitance of the line is fully considered. Synchronous post-fault voltage and current measurements from both sides of the line and the line parameters are used as the initial data for this method, while no assumption on the source impedance and fault type is made. Using the modal transformation, the presented method is applicable to both transposed and un-transposed lines and is independent of the fault type. By the use of time-domain model, the algorithm does not require filtering high frequency components and DC offset since these components are taken into account in the model. Evaluation studies based on EMTP/ATP simulation data demonstrate that the accuracy of the proposed algorithm is very high in different fault locations and fault resistances.
Keywords :
capacitance; electric current measurement; fault location; genetic algorithms; power transmission faults; power transmission lines; time-domain analysis; ATP; EMTP; current measurement; distributed time-domain model; fault location equation; fault resistance; genetic algorithm; modal transformation; shunt capacitance; synchronous post fault voltage; transmission lines; transposed lines; untransposed line; Equations; Fault location; Genetic algorithms; Mathematical model; Power transmission lines; Time domain analysis; Transmission line measurements; Genetic Algorithm; distributed model; fault location; time domain;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Environment and Electrical Engineering (EEEIC), 2012 11th International Conference on
Conference_Location :
Venice
Print_ISBN :
978-1-4577-1830-4
Type :
conf
DOI :
10.1109/EEEIC.2012.6221542
Filename :
6221542
Link To Document :
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