Title :
Power cable fault location based on mathematical morphology and wavelet theory
Author :
Kang Ming-Cai ; Wei Yang ; Zhang Jun-Fang ; Hu Guang ; Yingning Qiu
Author_Institution :
Nanjing Univ. of Sci. & Technol., Nanjing, China
Abstract :
Power cables and overhead lines are the backbone of power systems. In order to ensure the safe operation of these cables and lines, quick and accurate fault location is particularly important .The head of the reflected wave initiated by a fault is hard to identify, this is a key point in cable fault location and is the subject of this paper. Mathematical morphology and wavelet analysis theory are introduced to improve the travelling wave fault location. They are combined to filter out the noise in the travelling wave signal. Singularity detection is used to find the exact arrival time of the wave. A fault model has been created in MATLAB and simulation results show that the improved method can identify the head of reflection wave accurately ,thus improving the accuracy of fault location.
Keywords :
fault location; mathematical morphology; power cables; power overhead lines; wavelet transforms; MATLAB; arrival time; mathematical morphology; overhead lines; power cable fault location; power systems; reflection wave; singularity detection; travelling wave signal; wavelet analysis theory; electric cables; fault location; mathematical morphology; wavelet analysis;
Conference_Titel :
Sustainable Power Generation and Supply (SUPERGEN 2012), International Conference on
Conference_Location :
Hangzhou
Electronic_ISBN :
978-1-84919-673-4
DOI :
10.1049/cp.2012.1850