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基于滑动平均法的变压器油中气体预测

Prediction of gas in transformer oil based on moving average method

  • 摘要: 变压器作为电力系统中的重要组成部分,对于电网的安全稳定运行至关重要,变压器在运行过程中,内部的绝缘油会产生大量的气体,通过采集变压器油中产生的各种气体数据,并对气体数据进行分析,采用滑动平均方法得到内部气体数据的预测值,可实现对变压器的预警,便于运维检修人员提前发现变压器缺陷,降低故障发生的概率,保障设备安全稳定运行和可靠供电服务。

     

    Abstract: As an important part of the power system, the transformer is very important for the safe and stable operation of the power grid. During the operation of the transformer, the internal insulating oil will produce a large amount of gas. By collecting various gas data generated in the transformer oil, analyzing the gas data, and using the moving average method to obtain the predicted value of the internal gas data, the early warning of the transformer can be realized, It is convenient for operation and maintenance personnel to find transformer defects in advance, reduce the probability of failure, and ensure the safe and stable operation of equipment and reliable power supply service.

     

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