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

fYear

2011

fDate

8-10 Aug. 2011

Firstpage

3800

Lastpage

3803

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/AIMSEC.2011.6010076

Filename

6010076