基于贝叶斯公式的变压器绕组辐向变形群组评估Group Evaluation Method of Transformer Winding Radial Deformation Based on Bayesian Formula
李伟,郭红兵,孟建英,荀华,杨玥
LI Wei,GUO Hongbing,MENG Jianying,XUN Hua,YANG Yue
摘要(Abstract):
基于对内蒙古电力(集团)有限责任公司近15年电力变压器绕组辐向变形情况、主绝缘电容量试验数据、低电压短路阻抗试验数据的统计分析,利用贝叶斯公式进行变压器绕组辐向变形群组评估。以变压器绕组低电压短路阻抗及主绝缘电容量是否异常为故障属性变量,进行绕组辐向变形故障概率计算,判断准确率较单一根据阻抗电压异常或电容量异常情况判断明显提升。采用此方法对内蒙古电网1200多台变压器进行了群组评估,绕组辐向变形判断准确率达到100%。
Based on the statistical analysis of transformer winding radial deformation, main insulation capacitance test data,and low-voltage short-circuit impedance test data of Inner Mongolia Electric Power(Group) Co.,Ltd. in the past 15 years,the Bayesian formula is used to evaluate the radial deformation group of transformer winding. Taking the low-voltage short-circuit impedance of the transformer winding and whether the main insulation capacitance is abnormal as the fault attribute variables, the probability of the winding radial deformation failure is calculated, and the accuracy of the judgment is significantly improved compared with the judgment based on the abnormal impedance voltage or the abnormal capacitance. Based on this method, a group assessment of more than 1200 transformers in Inner Mongolia Power Grid is carried out, and the judgment accuracy of the winding radial deformation reaches 100%.
关键词(KeyWords):
电力变压器;辐向变形;低电压短路阻抗;电容量;贝叶斯公式;故障概率
power transformer;radial deformation;low-voltage short-circuit impedance;capacitance;Bayesian formula;failure probability
基金项目(Foundation): 内蒙古电力(集团)有限责任公司重点科技项目“变电一次设备适时停电检修关键技术研究与示范运行”(2020-08)
作者(Author):
李伟,郭红兵,孟建英,荀华,杨玥
LI Wei,GUO Hongbing,MENG Jianying,XUN Hua,YANG Yue
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- 电力变压器
- 辐向变形
- 低电压短路阻抗
- 电容量
- 贝叶斯公式
- 故障概率
power transformer - radial deformation
- low-voltage short-circuit impedance
- capacitance
- Bayesian formula
- failure probability