The oil-paper insulation condition inside the on-board transformer is an important factor affecting the op-eration of the motor vehicle,the modified Havriliak-Negami dielectric relaxation model was used to analyze the vari-ation of model parameters with water,and the gray wolf algorithm was used to extract the characterizable parameters from the model parameters and to evaluate the water content,the oil-paper insulation samples of on-board transform-er with actual moisture content of 2.40％were evaluated.The results show that the proposed method can effectively evaluate the moisture content of oil-paper insulation of on-board transformers,and the error between the evaluation method and the measured value is 0.8％,it provides a new method for evaluating the moisture state of oil-paper in-sulation of vehicle-mounted transformer.
关键词
车载变压器/油纸绝缘/频域介电谱/Havriliak-Negami模型/灰狼算法
Key words
vehicle transformer/oil-paper insulation/frequency domain dielectric spectrum/havriliak-negami model/gray wolf algorithm
维普
万方数据