Multi-physics modeling method of ONAN transformer temperature field for digital twin application

With the increasing electrical load on power grids, the issue of overheating in oil-immersed transformers during operation has become a critical concern. Traditional methods of temperature measurement used to assess the temperature distribution of transformer oil are insufficient in providing a comprehensive representation of the entire oil circulation system. To tackle this challenge, digital twin technology has emerged as a promising approach for analyzing and evaluating transformer maintenance requirements. Therefore, an architecture is presented in this article for the application of digital twin technology to transformers, emphasizing the importance of multiphysical field simulation in constructing an accurate digital twin model. A methodology is then outlined for developing a digital twin for oil-immersed, self-cooled (ONAN) transformers, with a specific focus on constructing a multi-physics digital twin simulation model to accurately capture the complete temperature distribution of transformer oil. In this model, an innovative approach is proposed, drawing inspiration from the concept of oil conservators.