Influence of Temperature Characteristics Based on Big Data on Cable Accessories under HV DC Field

Abstract

Abstract Cable accessory is a weak link in cable line operation, which is prone to accidents. It is of great significance to study the influence of temperature characteristics on cable accessory and determine the temperature field distribution of cable accessory for ensuring the safety of cable accessory operation and improving the overall reliability of cable line. This paper mainly studies the influence of temperature characteristics based on big data analysis on cable accessories under hV DC field. This paper first gives an overview of big data related technologies, and then introduces the calculation method of cable loss, which provides a theoretical basis for analyzing the influence of temperature characteristics on cable accessories. Furthermore, by setting the contact resistance coefficient K at the conductor of the cable connector, the temperature field calculation model of the contact resistance of the cable connector is established, and the distribution law of the temperature characteristics of the cable connector when the contact resistance of the conductor is too large is studied. With the increase of the contact resistance, the temperature of the connector core and the temperature of the connector indicate that the temperature increases gradually.