Due to the compounding of the internal operating state parameters of the transformer,there is a large error in the diagnosis result of the specific fault location when the fault diagnosis is carried out directly,so the optimization of the transformer fault diagnosis based on Bayesian mesh is proposed.Based on the transformer node admittance matrix,a mod-el with the magnetic flux leakage admittance array of the transformer in series of the power system was constructed,and the complex transformer was converted into a model composed of several node admittance matrices.In the diagnosis stage,a Bayesian mesh is introduced to determine the specific fault location according to the sparse position vectors randomly and evenly scattered in the Bayesian mesh in the perception area.The test results show that the diagnostic method for the spe-cific fault location not only shows high stability,but also achieves small errors.
关键词
贝叶斯网格/变压器故障诊断/节点导纳矩阵/变压器模型/稀疏位置矢量
Key words
Bayesian mesh/transformer fault diagnosis/node admittance matrix/transformer model/sparse position vector
维普
万方数据