Proceedings of the Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)

Ferro-resonance Overvoltage Identification Using Earth Capacitance and Excitation Inductance of Ratio Method

Authors
Mingsheng Xu, Lei Zhu
Corresponding Author
Mingsheng Xu
Available Online June 2017.
DOI
https://doi.org/10.2991/ammee-17.2017.64How to use a DOI?
Keywords
ferromagnetic resonance, EMTP, ratio method, overvoltage identification.
Abstract
The ferromagnetic resonance overvoltage of power system often occurs for a long time, which seriously endangers the safe operation of electrical equipment and power grid. The feature extraction and recognition of ferromagnetic resonance overvoltage is helpful for taking targeted measures to restrain overvoltage quickly, and it is of great significance to guarantee electric power system running in reliable and steady status. Based on the analysing the over-voltage and over-current waveform characteristics of different resonance types by EMTP simulation software, a method of ferromagnetic resonance overvoltage recognition is proposed which is named earth capacitance and excitation inductance ratio. The theoretical foundation of this method is visualized, and a lot of actual data show that this method is feasible and effective in ferromagnetic resonance overvoltage recognition.
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Proceedings
Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)
Part of series
Advances in Engineering Research
Publication Date
June 2017
ISBN
978-94-6252-350-0
DOI
https://doi.org/10.2991/ammee-17.2017.64How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Mingsheng Xu
AU  - Lei Zhu
PY  - 2017/06
DA  - 2017/06
TI  - Ferro-resonance Overvoltage Identification Using Earth Capacitance and Excitation Inductance of Ratio Method
BT  - Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)
PB  - Atlantis Press
UR  - https://doi.org/10.2991/ammee-17.2017.64
DO  - https://doi.org/10.2991/ammee-17.2017.64
ID  - Xu2017/06
ER  -