Title :
Application of wavelet transform in ferroresonance detection
Author :
Pei-Ying Guo ; Cheng-Zhe Li ; Shuai Yan ; Jun Liangcheng ; Jing-Yi Zhang
Author_Institution :
Electr. Eng. Coll., Northeast Dianli Univ., Jilin, China
Abstract :
With the development of power systems and the extensive application of nonlinear elements in the electricity system, the problem of ferroresonance do harm to the network and electricity facilities has become more prominent. Wavelet analysis has good time-frequency localization characteristic, so it is suitable for fault analysis of power system. This paper is base on in the neutral point unearthed system, which is excited by single phase grounding fault, take analysis of the value of neutral point with the Daubechies wavelet analysis. Simulation results show that with wavelet transforms the occurrence of Ferro resonance time can be detected and the frequency resonance can also be determined.
Keywords :
earthing; electricity supply industry; fault location; ferroresonance; overvoltage; power system faults; time-frequency analysis; wavelet transforms; Daubechies wavelet analysis; electricity facilities; ferroresonance detection; frequency resonance; grounding fault; neutral point unearthed system; nonlinear elements; power systems fault analysis; time-frequency localization characteristic; wavelet transform; Ferroresonance; Frequency conversion; Power systems; Resonant frequency; Wavelet analysis; Wavelet transforms; Daubechies wavelet; Ferroresonance; Wavelettransformation;
Conference_Titel :
Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
Conference_Location :
Deng Leng
Print_ISBN :
978-1-4577-0535-9
DOI :
10.1109/AIMSEC.2011.6010076