Research progress on insulation condition estimation for oil-immersed power transformer

Jian-lin Wei, Guanjun Zhang, M. Dong, H. Mu, Zhang Yan
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引用次数: 6

Abstract

Chinese power industry developed rapidly recent years, and the problem of safety and reliability of power equipment is increasingly outstanding. The development of new test technology and the introduction of artificial intelligence (AI) are driving the monitoring and diagnosing method on insulation condition forward, and nowadays gradually changing the maintenance strategy from breakdown maintenance (BM) style to time based test and maintenance (TBM), then to condition based maintenance (CBM). This paper reviews the progress in estimation on insulation condition of oil-immersed power transformer, and summarizes the currently used test and monitoring methods. Some new methods employing dielectric response phenomena are being studied and promising for on-site test. And an intelligent transformer concept is also promising in the near future. And some unsolved problems in the field of condition monitoring and diagnosis (CMD) are proposed.
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油浸式电力变压器绝缘状态估计研究进展
近年来,我国电力工业发展迅速,电力设备的安全可靠性问题日益突出。新测试技术的发展和人工智能(AI)的引入推动了绝缘状态监测诊断方法的发展,目前绝缘状态的维护策略正逐步从故障维护(BM)方式转变为基于时间的测试维护(TBM)方式,再转变为基于状态的维护(CBM)方式。综述了油浸式电力变压器绝缘状态评估的研究进展,总结了目前常用的测试和监测方法。一些利用介电响应现象的新方法正在研究中,有望用于现场测试。在不久的将来,智能变压器的概念也很有希望。并提出了状态监测与诊断领域有待解决的问题。
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