摘要
用变压器等充油设备的油中气体浓度可以判断设备的统缘状况。按照国家标准 ,充油变压器的油中气体浓度至少是 3个月测量一次 ,另外 ,测量过程十分复杂。在在线气相色谱没有完全实现的情况下 ,不可能随时获知油中气体浓度。为了弥补这一缺陷 ,本文基于灰色理论提出了一个预测油中气体浓度的新方法。这一方法可以预测将来任一时刻的油中气体浓度 ,从而诊断变压器的绝缘状况。经实例验证 ,这一方法用于变压器等充油设备的油中气体浓度简单、精确、实用。
The gas in oil concentrations are used to diagnose oil filled transformer insulation. According to National Criteria, the measuring period for gas in oil concentrations of oil filled transformer is 3 months at least, and besides, the measuring procedure is complicated. As on line measurements of gas chromatography are not completely implemented, it is difficult to acquire the gas in oil concentrations timely. For making up the disadvantages, a new method based on Grey Theory to predict the gas in oil concentrations is proposed in this paper. Using this method, the gas in oil concentrations at any future time can be predicted, hence the insulation of oil filled transformer can be also diagnosed. It is approved to be a simple, accurate and practically useful method to predict the gas in oil concentrations of oil filled transformer and other analogous electrical equipment.
出处
《电力系统及其自动化学报》
CSCD
2001年第3期40-42,共3页
Proceedings of the CSU-EPSA
关键词
电力变压器
充油设备
变压器油
气体浓度
预测
灰色理论
transformer insulation, gas in oil concentrations, Grey Theory, prediction model of GM (1,1), diagnosis
