GIS contact temperature prediction method based on multiple parameters

Abstract

In order to prevent the faults caused by the overheating phenomena of gas insulated switchgear (GIS) contacts, it is necessary to monitor and predict the temperature of GIS contacts. In view of the problems that the temperature of contacts is not easy to be directly measured and the temperature is easily affected by the operation conditions and external factors, a prediction method of GIS contact temperature based on multiple parameters is proposed in this work. The temperature distribution law of GIS under different influencing factors is investigated by employing a three-dimensional simulation model. The influencing factors are contact resistance, load current, ambient temperature, wind speed, SF6 pressure and solar radiation intensity. The reliability of the model is validated by use of heat circuit model. The results indicate that the key factors to predict the contact temperature are the shell temperature rise, load current, wind speed, SF6 pressure and solar radiation intensity. At the same time, the influence of ambient temperature can be ignored. Further, the back propagation (BP) neural network is adopted to predict the temperature rise of the contacts with the above factors. The predicted temperature rise is compared with the calculated one of the model, and the error is in the range of -0.70~0.68 ℃. The method comprehensively takes into account the influence of various factors on the GIS temperature field, and it helps to give a reference for the temperature prediction of GIS contacts based on external sensors.

Keywords

• gas insulated switchgear (gis)
• multi-physics field coupling
• finite element method
• back propagation (bp) neural network
• temperature prediction
• heat circuit theory