Polužanski Vladimir, Kartalović Nenad, Nikolić Boško
School of Electrical Engineering, University of Belgrade, 73 Kralja Aleksandra Boulevard, 11120 Belgrade, Serbia.
Electrical Engineering Institute of Nikola Tesla, University of Belgrade, 8a Koste Glavinica Street, 11040 Belgrade, Serbia.
Materials (Basel). 2021 Mar 12;14(6):1385. doi: 10.3390/ma14061385.
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.
本文研究了变压器油温变化对电力变压器局部放电定位全声学非迭代方法精度的影响。该研究有助于改进电力变压器的测试和监测，特别是考虑到实时监测期间变压器油温的大幅变化。该研究基于使用分析、统计和蒙特卡罗方法量化油温对非迭代算法标准组合测量不确定度的贡献。该贡献可以被量化和控制。该贡献随局部放电与声学传感器的不同相互位置而有显著变化。观察到该贡献与局部放电和声学传感器之间的平均距离之间的相关性。基于这些发现，提出了在实际中量化和控制该贡献的程序。该程序考虑了该方法数学模型的特殊性（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幅变化。现有研究未考虑油温对受这些现象影响的局部放电定位组合测量不确定度的显著影响。该研究仅限于位于变压器油中的局部放电。
