DocumentCode
2483116
Title
Fault location on transmission line using maximum correlation coefficient method
Author
Zhong Zheng ; Jianyin Liu ; Hong Yu
Author_Institution
State Key Lab. for Alternate Electr. Power Syst. with Renewable Energy Sources, North China Electr. Power Univ., Beijing, China
fYear
2012
fDate
14-17 Oct. 2012
Firstpage
226
Lastpage
229
Abstract
In recent years, traveling wave method has been widely used in transmission line fault location and widely recognized. It is important to improve the performance of measuring equipment to reduce the systematic errors, but innovative computational method to eliminate the calculation errors is equally important. There are mainly two ways in the calculation of traveling wave method fault location, the wavelets analysis method and the correlation coefficient method. According to some literatures, the latter is more accuracy than the former. When calculated in this way, we encountered some difficulties. So the authors introduced their new maximum correlation coefficient method to make calculation, in order to find out the most suitable length of comparison points and get the most accurate positioning results. After an experiment of adding 60db white Gauss noise to the simulation data, the accuracy of this method still holds, that will be a tremendous progress in traveling wave position calculation.
Keywords
Gaussian noise; power transmission faults; power transmission lines; wavelet transforms; maximum correlation coefficient method; measuring equipment; systematic error reduction; transmission line fault location; traveling wave method; wavelet analysis; white Gauss noise; Accuracy; Fault location; Noise; Power transmission lines; Transmission line measurements; Voltage measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical Insulation and Dielectric Phenomena (CEIDP), 2012 Annual Report Conference on
Conference_Location
Montreal, QC
ISSN
0084-9162
Print_ISBN
978-1-4673-1253-0
Electronic_ISBN
0084-9162
Type
conf
DOI
10.1109/CEIDP.2012.6378762
Filename
6378762
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