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Impact of Power Transformer Oil-Temperature on the Measurement Uncertainty of All-Acoustic Non-Iterative Partial Discharge Location

机译：电力变压器油温对全声非迭代局部放电定位的测量不确定性的影响

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摘要

In this paper, the influence of the variation in transformer oil temperature on the accuracy of the all-acoustic non-iterative method for partial discharge location in a power transformer is researched. The research can improve power transformers’ testing and monitoring, particularly given the large transformer oil temperature variations during real-time monitoring. The research is based on quantifying the contribution of oil temperature to the standard combined measurement uncertainty of the non-iterative algorithm by using analytical, statistical, and Monte Carlo methods. The contribution can be quantified and controlled. The contribution varied significantly with different mutual placements of partial discharge and acoustic sensors. The correlation between the contribution and the mean distance between partial discharge and acoustic sensors was observed. Based on these findings, the procedure to quantify and control the contribution in practice was proposed. The procedure considers the specificity of the method’s mathematical model (the assumption that the oil temperature is constant), the non-iterative algorithm’s nonlinearity, and the large variations in transformer oil temperature. Existing studies did not consider the significant effect of the oil temperature on the combined measurement uncertainty of partial discharge location influenced by those phenomena. The research is limited to partial discharge located in the transformer oil.
机译：在本文中，研究了变压器油温变化对电力变压器中局部放电位置的所有声学非迭代方法的精度的影响。该研究可以提高电力变压器的测试和监控，特别是在实时监测过程中变压器温度变化。该研究基于通过使用分析，统计和蒙特卡罗方法量化油温对非迭代算法的标准组合测量不确定性的贡献。可以量化和控制贡献。利用局部放电和声学传感器的不同相互放置，贡献显着变化。观察到局部放电和声学传感器之间的贡献与平均距离之间的相关性。基于这些调查结果，提出了量化和控制实践贡献的程序。该方法考虑该方法的数学模型的特异性（油温恒定的假设），非迭代算法的非线性，以及变压器油温的大变化。现有研究没有考虑油温对受这些现象影响的局部放电位置的组合测量不确定性的显着影响。该研究仅限于位于变压器油中的局部放电。

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