Abstract: A method for predicting reliability of a cross-linked polyethylene cable insulation material, including: subjecting cross-linkable materials respectively to cross-linking reactions, to obtain groups of cross-linked polyethylene and enthalpy values of exothermic peaks of cross-linking reactions of the groups of cross-linkable materials; subjecting the groups of cross-linked polyethylene to a thermal extension test to obtain elongations under load of the groups of cross-linked polyethylene; establishing a curve for predicting reliability of the cross-linked polyethylene cable insulation material based on enthalpy values of the exothermic peaks of cross-linking reactions of the groups of cross-linkable materials and the elongations under load of the groups of cross-linked polyethylene; subjecting a cross-linkable material to be predicted to a cross-linking reaction, thereby obtaining an enthalpy value of an exothermic peak of the cross-linking reaction of the cross-linkable material to be predicted; and comparin
Type:
Application
Filed:
November 9, 2022
Publication date:
January 30, 2025
Applicant:
ELECTRIC PWR. RES. INST., CHINA SOUTH. PWR. GRID
Abstract: The present disclosure relates to the field of high-voltage AC cable insulation technologies, and provides a method for predicting insulation aging life of a high-voltage submarine cable and a device. The method includes: obtaining environmental data and cable breakdown time of a cable sample; the environmental data including an electric field, temperature, and mechanical stress applied to the cable sample by an environment; calculating characteristic breakdown time corresponding to the cable sample by Weibull distribution based on the cable breakdown time of the cable sample; determining an insulation aging life prediction model of the high-voltage submarine cable based on the environmental data and the characteristic breakdown time of the cable sample; obtaining environmental data of a cable to be predicted in an actual application environment, and calculating insulation aging life of the cable to be predicted by using the prediction model.
Type:
Application
Filed:
June 29, 2023
Publication date:
January 4, 2024
Applicant:
ELECTRIC PWR. RES. INST., CHINA SOUTH. PWR. GRID