Author:
Gu Zhaoliang,Zhu Wenbing,Zhu Mengzhao,Xu Wei,Gao Zhixin,Yi Feng
Abstract
Abstract
Insulation damp is the main cause of transformer bushing failures. Dielectric loss detection, as the most important method to evaluate the insulation state of transformer bushing, has been widely used in the evaluation of transformer bushing dampness. But its accuracy of detection will be affected by temperature and other environmental factors. The real capacitor transformer bushings have been taken as the research object to simulate the real situations of transformer bushing dampness in this paper. The relationship between Dielectric loss values and temperature of transformer bushings with different moisture concentrations have been obtained. And the influences of temperature on the moisture detection of transformer bushings are also studied. These results can provide reference for the accurate dielectric loss detection of transformer bushings and the diagnosis of dampness degree.
Reference7 articles.
1. Dielectric frequency response measurements and dissipation factor temperature dependence;Werelius,2012
2. Influence of temperature, moisture content and ageing on oil impregnated paper bushings insulation;Mikulecky;IEEE Transactions on Dielectrics & Electrical Insulation,2013
3. Understanding the impact of moisture and ageing of transformer insulation on frequency domain spectroscopy;Jadav;IEEE Transactions on Dielectrics & Electrical Insulation,2014
4. Can the bubble effect occur in an oil impregnated paper bushing;Przybylek;IEEE Transactions on Dielectrics and Electrical Insulation,2012
5. Three-Dimensional Simulation on Mechanical Property of DC Bushing for the Converter Transformer;Mingsheng;Shandong Electric Power,2015
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Techniques for Failures Classification in Power Transformers by High-Frequency Current Transformers;2023 15th IEEE International Conference on Industry Applications (INDUSCON);2023-11-22
2. New Approach Insulator Failure Differentiation based on Image Processing;2022 6th International Symposium on Instrumentation Systems, Circuits and Transducers (INSCIT);2022-08-22