DocumentCode
2671317
Title
Fault location method of distribution network based on transient energy relative entropy of S-transform
Author
Zhang Liwei ; Wang Xiaowei ; Tian Shu ; Li Yudong
Author_Institution
Luoyang Sanlong Installation Maintenance Co. Ltd., Luoyang, China
fYear
2012
fDate
23-25 May 2012
Firstpage
2255
Lastpage
2259
Abstract
A novel fault section location method based on characteristic frequency sequence determined by multiple combinations for distribution network is proposed. This method S-tranforms the transient zero-mode current components of every detection point on a whole line, and selects the characteristic frequency sequence based on the corresponding frequency point of its maximum transient energy. On the above basis, taking the whole line as a system, it calculates the relative entropy values of any two adjacent detection points of transient zero-mode current. Finally, it compares the calculated entropy values. After all the combinations are compared, the section with the highest number of “possible fault section” judgement will be judged as fault section. By adopting relative entropy value to measure the difference of waveforms, characteristic effect can be obviously presented and multiple combinations method can improve the credibility of fault location results.
Keywords
entropy; fault location; power distribution faults; power system transients; wavelet transforms; S-transform; characteristic frequency sequence; detection points; distribution network; fault section location method; frequency point; maximum transient energy; relative entropy values; transient energy relative entropy; transient zero-mode current components; Circuit faults; Coils; Entropy; Fault location; Frequency control; Time frequency analysis; Transient analysis; Fault location; Multiple combinations; Relative entropy; S-transform;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location
Taiyuan
Print_ISBN
978-1-4577-2073-4
Type
conf
DOI
10.1109/CCDC.2012.6244362
Filename
6244362
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