DocumentCode
3472752
Title
Detection of the transmission line short-circuited fault based on lifting wavelet
Author
Zhou Jian-ping ; Zheng Ying-ping ; Wang Zhi-ping
Author_Institution
Sch. of Power & Autom. Eng., Shanghai Univ. of Electr. Power, Shanghai
fYear
2008
fDate
6-9 April 2008
Firstpage
1663
Lastpage
1666
Abstract
Short-circuited fault is one of the most dangerous and common faults occurring in power system, which includes three-phase short circuit, two-phase short circuit, two-phase grounding short circuit and single-phase grounding short circuit. Abundant field statistic data demonstrate that over 85% short- circuited faults are single-phase grounding type. According to the actual power system transmission line, the present paper devotes to the simulation regarding A-phase short circuit. The original signal is detected using the lifting wavelet presented by Sweldens(1998). Compared with traditional wavelet, lifting wavelet calculates quickly and easily, since fast calculation is important in power system, especially when a real-time operation is needed. The simulation results show that lifting wavelet can accurately detect the signal singularity of transmission line short- circuited fault. In addition, the detecting speed of lifting wavelet is 3millisecond faster than that of db5 wavelet. The proposed method provides effective support for next fault location.
Keywords
earthing; fault diagnosis; power transmission faults; short-circuit currents; wavelet transforms; field statistic data; power system faults; power system transmission line; single-phase grounding short circuit; three-phase short circuit; time 3 ms; transmission line short- circuited fault; Circuit faults; Circuit simulation; Distributed parameter circuits; Electrical fault detection; Fault detection; Grounding; Power system faults; Power system simulation; Power transmission lines; Transmission lines; Fault currents; fault diagnosis; frequency; power system simulation; power transmission lines; real time systems; short circuit currents; signal detection; signal resolution; wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Electric Utility Deregulation and Restructuring and Power Technologies, 2008. DRPT 2008. Third International Conference on
Conference_Location
Nanjuing
Print_ISBN
978-7-900714-13-8
Electronic_ISBN
978-7-900714-13-8
Type
conf
DOI
10.1109/DRPT.2008.4523672
Filename
4523672
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