Back to Search Start Over

Feature statistics and analysis of transient overvoltage waveform measured from 220 kV substation

Authors :
Chenmeng Zhang
Shijun Xie
Qiang Chen
Zhou Mu
Yalong Xia
Lieguo Zhou
Yong Ouyang
Jianjun Zhang
Source :
International Journal of Electrical Power & Energy Systems, Vol 158, Iss , Pp 109824- (2024)
Publication Year :
2024
Publisher :
Elsevier, 2024.

Abstract

The electromagnetic transient overvoltage in the substation is an important factor that affects the life of insulation equipment. For evaluate the economy and reliability of the insulation design of substation equipment, it is necessary to study and analyze the actual measured overvoltage waveforms in the substation. In this paper, firstly, the 3018 pieces of overvoltage data monitored in the 220 kV substation from 2018 to 2019 are preprocessed to obtain the required overvoltage waveform. Next, by analyzing and classifying the overvoltage data, four typical overvoltage waveforms suffered by the insulation equipment in the substation are extracted. Combined with the IEC60060 standard, the time parameters of the overvoltage waveform are selected and defined: wave-front time (Tf), half-value time (Thalf), main oscillation frequency (f), and attenuation constant (α). Further, statistical analysis is performed on the parameters of each waveform. The distribution law, distribution characteristics and distribution range of the parameters are obtained. Finally, the parameters of four typical overvoltage waveforms are summarized and compared, the cumulative distribution functions are obtained. This results can guide and optimize the insulation design of the insulation equipment in the substation, reduce design errors. It provide data support for the economy and reliability of insulation design.

Details

Language :
English
ISSN :
01420615
Volume :
158
Issue :
109824-
Database :
Directory of Open Access Journals
Journal :
International Journal of Electrical Power & Energy Systems
Publication Type :
Academic Journal
Accession number :
edsdoj.2169495ef98a4f198433ede2bab52134
Document Type :
article
Full Text :
https://doi.org/10.1016/j.ijepes.2024.109824