[Poster Presentation]Statistical Analysis of GIS Defects and Major Condition Parameters

Statistical Analysis of GIS Defects and Major Condition Parameters

ID：255 Submission ID：1682 View Protection：PUBLIC Updated Time：2020-10-16 14:39:12 Hits：269 Poster Presentation

Start Time：2020-11-04 15:25 （Asia/Shanghai）

Duration：5min

Session：[G] Poster session » [G4] Poster Session 4 and Poster Session 9

Video Play Presentation File

Abstract

Gas insulated switchgear (GIS) plays an important role in the power grid. At present, the defect detection and condition assessment of GIS involves many condition parameters that are obtained with power outage. Therefore, the maintenance of GIS brings a lot of pressure on the Power supply bureau. In this paper, based on the data sheet about 538 GIS equipment and 10 years operations, the defects and relevant condition parameters were statistically analyzed. The distribution of GIS defects with the type of detection and components, and the defect rate with the operating years were obtained. Major condition parameters were analyzed, and seven condition parameters were chosen to perform the maintenance of GIS. These seven condition parameters can be obtained without power outage and more than 97% defects can be found out through them.

Keywords

GIS, defect, non-power-off detection, condition parameters

Speaker

qingzhu yang

North China Electric Power University

Submission Author

GongYanPeng China Electric Power Research Institute

shuai yuan China Electric Power Research Institute

qingzhu yang North China Electric Power University

shaoan wang Electric power research institute of state grid Zhejiang electric power company

Yangchun Cheng State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources； North China Electric Power University

jun zhao State Grid Hebei Electric Power Research Institute