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