Research and Analysis of Power Transformer Remaining Life Prediction Based on Digital Twin Technology
Yongteng Jing, Yongchao Zhang, Xiwen Wang, Yan Li
Abstract
The existing life prediction methods of oil-immersed power transformers mainly calculate the hot spot temperature of the windings based on mathematical models, and it is difficult to achieve an accurate prediction of the remaining life. A method for predicting the remaining life of a transformer based on digital twin technology is proposed: establish digital twin of a transformer with digital twin technology, and using a multi-physics coupling method to calculate the change law of the digital twin’s winding hot spot temperature parameters under different working conditions and different operating hours, thereby establishing a remaining life prediction model based on the digital twin’s winding hot spot temperature data. Taking the SZ10-50000/110 model power transformer as an example, the results show that the remaining life prediction method based on digital twin transformers proposed in this paper can effectively predict the remaining life of the transformer in operation with an accuracy rate of 95%.