利用两级因子设计研究腐蚀参数对变压器绝缘纸表面电阻率的影响

Nur Farhana Mohd Azlan, S. Ghani, M. S. A. Khiar, I. S. Chairul, Mohamad Nazri Mohamad Din
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摘要

油浸电力变压器、并联电抗器和高压套管中绝缘的完整性会受到影响,因为铜会溶解在绝缘油中,然后沉积在纸绝缘上。油中溶解铜会增加介电损耗,而铜沉积则会显著提高纸绝缘的导电性。研究发现,温度、氧气、硫基团、钝化剂和老化时间等各种因素都会加速变压器绝缘油中的腐蚀活动。遗憾的是,目前还缺乏系统分析和测量腐蚀相关因素对变压器绝缘油中铜的溶解以及铜在固体绝缘表面(牛皮纸)沉积的影响的广泛研究。因此,本研究旨在深入研究当牛皮纸浸没在变压器矿物油(TMO)中时,腐蚀因素对铜和硫沉积在牛皮纸绝缘层上的影响。我们采用两级(2k)因子设计,研究了三个关键因素:i) 油温;ii) 元素硫浓度;iii) 老化时间。值得一提的是,两级析因设计的结果表明,表面电阻率主要受油温的影响。仅这一个因素就解释了 38.68% 的观测变化。为了提高可预测性,我们创建了一个回归模型来估算 TMO 浸渍纸绝缘层的表面电阻率。该模型考虑了油温、元素硫浓度和老化时间等因素。
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Investigating the effects of corrosion parameters on the surface resistivity of transformer’s insulating paper using a two-level factorial design
The integrity of the insulation in oil-filled power transformers, shunt reactors, and high voltage bushings can be affected when copper dissolves in the insulating oil and then deposits onto the paper insulation. The presence of dissolved copper in the oil increases dielectric losses, while copper deposition significantly improves the conductivity of the paper insulation. Various factors, including temperature, oxygen, sulfur groups, passivators, and ageing time, have been found to contribute to the acceleration of corrosion activity in transformer insulating oils. Unfortunately, there is a lack of extensive research focused on systematically analysing and measuring the impact of corrosion-related factors on the dissolution of copper in transformer insulating oils and the deposition of copper onto solid insulation surfaces (Kraft paper). Therefore, this study aims to thoroughly examine the effects of corrosion factors on copper and sulfur deposition on Kraft paper insulation when it is submerged in transformer mineral oil (TMO). Using a two-level (2k) factorial design, we investigated three crucial factors: i) oil temperature, ii) elemental sulfur concentration, and iii) ageing time. It is worth mentioning that the results obtained from the two-level factorial design indicate that the surface resistivity is primarily affected by the temperature of the oil. This factor alone explains a significant 38.68% of the observed variation. In order to improve predictability, a regression model was created to estimate the surface resistivity of TMO-impregnated paper insulation. This model takes into account factors such as oil temperature, elemental sulfur concentration, and ageing time.
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