首页|变压器典型绕组缺陷的漏磁分布规律及编码辨识方法研究

变压器典型绕组缺陷的漏磁分布规律及编码辨识方法研究

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针对目前变压器绕组缺陷时漏磁规律分析不全面、基于漏磁特征的绕组故障辨识研究不足的问题,该文以一台110kV变压器为原型,开展不同程度、不同位置、不同形式的绕组变形和匝间短路漏磁分布规律的有限元仿真研究,结果发现,无论是径向变形还是轴向变形,漏磁通分布规律受变形饼数影响较小,相同程度变形发生在高压绕组,绕组区域的漏磁通变化受形变位置影响较小,但低、中压绕组漏磁分布易受形变位置影响.端部绕组的变形更易引起漏磁变化.匝间短路引起的漏磁变化远大于绕组变形,并会额外影响油箱壁附近漏磁分布,同一位置匝间短路引起的漏磁变化分布情况受短路程度影响较小.此外,发生在低、中压绕组的匝间短路较高压绕组对漏磁分布的破坏程度更大.进一步地,该文提出一种基于漏磁变化量的绕组缺陷编码辨识方法,借助支持向量机法对不同程度同一缺陷下绕组附近5个漏磁监测点数据进行分类以确定阈值,将各处漏磁变化量根据阈值转化为对应的三进制数,最终形成一个十进制编码以实现对绕组变形和匝间短路缺陷的定位辨识.该方法的提出为变压器绕组故障提供了一种基于漏磁变化量的监测辨识手段,通过增加监测点、采用更高进制编码以细分阈值,该方法具备辨识不同程度缺陷的可能.相关成果己在110kV变压器上开展应用.
Coding Diagnosis Method Based on Leakage Distribution Law Under Typical Winding Defects of Transformers
To address the problems of incomplete analysis of leakage flux distribution law under transformer winding defects and insufficient research on winding fault identification based on leakage flux characteristics,this paper conducts a finite element simulation study of leakage flux distribution law under different degrees,locations,and forms of winding deformation and inter-turn short-circuit with a 110kV transformer as a prototype.The results show that the leakage flux distribution pattern is less affected by the number of radial and axial deformation pies.When the same degree of deformation occurs in the high-voltage winding,the change of the leakage flux in the winding area is less affected by the deformation position.Still,the deformation position easily affects the distribution of the leakage flux in the low-and medium-voltage windings.In addition,the winding deformation at the end is more likely to cause the leakage flux change.The flux leakage change caused by the inter-turn short circuit is much larger than the winding deformation,and will additionally affect the flux leakage distribution near the tank wall.The distribution of flux leakage changes caused by inter-turn short circuits at the same position is less affected by the degree of short circuits.The turn-to-turn short circuit occurring in the low and medium voltage windings has greater damage to the distribution of the leakage flux in the higher voltage windings.Furthermore,this paper proposes a coding identification method for winding defects based on the variation of magnetic flux leakage.With the help of the support vector machine method,the data of five magnetic flux leakage monitoring points near the winding under the same defect of different degrees are classified to determine the threshold.According to the threshold value,the magnetic flux leakage changes in various places are converted into corresponding ternary numbers.Finally,a decimal code is formed to realize the positioning and identification of winding deformation and inter-turn short circuit defects.The proposed method provides a monitoring and identification method based on the flux leakage variation for transformer winding faults.By adding monitoring points and adopting higher codes to subdivide thresholds,this method can identify defects of different degrees.Relevant results have been demonstrated in 110kV transformers.

transformerwinding deformationturn-to-turn short circuitwinding defect diagnosis

冀茂、齐波、郑伟、黄猛、李成榕、王建

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新能源电力系统全国重点实验(华北电力大学),北京市 昌平区 102206

国网山东省电力公司电力科学研究院,山东省济南市 250003

变压器 绕组变形 匝间短路 绕组缺陷诊断

国家电网科技项目

5206002000D6

2024

电网技术
国家电网公司

电网技术

CSTPCD北大核心
影响因子:2.821
ISSN:1000-3673
年,卷(期):2024.48(5)
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