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Characteristic parameters prediction of power transformer based on discrete gray model

机译:基于离散灰色模型的电力变压器特性参数预测

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摘要

Characteristic parameters prediction of power transformer can be used to predict the condition or fault of power transformer. On the basis of the acknowledgement of the applicability of gray model for power transformer characteristic parameters, an approach to predict of characteristic parameters based on the discrete gray model(DGM) is introduced into the characteristic parameters prediction of power transformer, as a solution of avoiding the possible instability of the traditional gray model prediction. And the method of the firsthand data preprocessing, as data of the characteristic parameters of power transformer have the characteristics of strong random and non-equidistance, is proposed to make it suitable for the characteristic parameters data prediction and to improve the prediction accuracy, so that all the obstacles from the theoretical analysis to engineering application of the prediction of power transformer by predicting the condition parameters data with DGM are removed, and the accurate prediction of power transformer condition or transformer faults is achieved.
机译:电力变压器的特征参数预测可用于预测电力变压器的状态或故障。在认识到灰色模型对电力变压器特征参数适用性的基础上,将基于离散灰色模型(DGM)的特征参数预测方法引入电力变压器的特征参数预测中,作为一种避免的方法。传统灰色模型预测的可能不稳定性。鉴于电力变压器特征参数数据具有较强的随机性和非等距性,提出了一种第一手数据预处理的方法,使其适用于特征参数数据的预测,提高了预测精度,通过用DGM预测状态参数数据,消除了从理论分析到电力变压器预测工程应用的所有障碍,实现了对电力变压器状态或变压器故障的准确预测。

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