Life Monitoring and Evaluation Strategy of Traction Transformer on Freight Line

2019 2nd International Conference on Advanced Materials, Intelligent Manufacturing and Automation

Tian, Xingjun^1 ; Li, Jiu^1 ; Lei, Yuntiao^1 ; Liu, Yang^2 ; Wang, Zhe^1 ; Yao, Qi^1

Department of Electrical and Electronic Engineering, Shijiazhuang Tiedao University, Shijiazhuang, Hebei

050043, China^1

Shuohuang Railway Development Co. Ltd., Cangzhou, Hebei

062350, China^2

关键词: Depolarization currents;    Development prospects;    Dielectric response theory;    Electric power equipments;    Monitoring and diagnosis;    Monitoring and evaluations;    Polymerization degree;    Traction power supply system;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/569/3/032077/pdf
DOI  :  10.1088/1757-899X/569/3/032077

来源: IOP

【 摘 要 】

The traction transformer is regarded as the core power equipment in the traction power supply system of railway freight-dedicated line. As the time goes on, lots of traction transformers are under the long-term service status in the domestic electrified railway. Nevertheless, based on the present time-based preventive test code for electric power equipment, it is difficult to conduct the decision-makings on theirs running status. Therefore, it is necessary to study and implement condition monitoring and diagnosis (CMD) technologies. In this paper, some typical characteristics of aging conditions are described, such as tensile strength (TS), polymerization degree (DP), CO/CO2 content, furfural concentration, water content. Some analysis methods with development prospect are analyzed based on dielectric response theories, such as recovery voltage (RV) method, polarization-depolarization current (PDC) method and frequency domain spectrum (FDS) method of the oil-immersed insulation traction transformer. However, the insulation aging of traction transformer is a complex kinetic process of chemical reaction, and it is definitely necessary to combine all the effective methods together and synthetically analyze the experimental data and parameters for obtaining a comprehensive conclusion.