Title :
Study of distribution network cable faults location based on wavelet transform and autocorrelation analysis
Author_Institution :
Guangzhou Coll., South China Univ. of Technol., Guangzhou, China
Abstract :
With the increasing application of the power cables to the power supply in developed city, it is necessary to constantly improve the accuracy ranging of power cable fault location. It is presented that the relevant technology of the wavelet transformation and autocorrelation analytical method using in distribution network cable faults location. It was applied to filtering signal and detect singularity, that the autocorrelation analysis as the constraint condition of wavelet transform. In the end, the automatic and accurate ranging of cable fault location was carried out. The results of simulation show that this method can obtain high precision of fault location.
Keywords :
correlation methods; fault location; filtering theory; power cables; power distribution faults; power distribution protection; wavelet transforms; autocorrelation analytical method; constraint condition; distribution network cable faults location; power cable fault location; signal filtering; singularity detection; wavelet transform; autocorrelation analysis; fault location; power cable; wavelet transform;
Conference_Titel :
Electrical Contacts (ICEC 2012), 26th International Conference on
Conference_Location :
Beijing
Electronic_ISBN :
978-1-84919-508-9
DOI :
10.1049/cp.2012.0696