Digital twin modeling and temperature field analysis of transformer windings

• Published in: 2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC ) pp. 819 - 824
• Main Authors: Huang, Li, Shen, Peifeng, Chen, Ting, Li, Yong, Sun, Xiaoyan, Ju, Ling, He, Tianyu, Tang, Debao
• Format: Conference Proceeding
• Language: English
• Published: IEEE 03.10.2022
• Subjects: Analytical models; Couplings; Digital twin models; Oil insulation; Oils; Temperature distribution; temperature field analysis; transformer windings; Transformers; winding loss; Windings
• ISSN: 2689-6621
• DOI: 10.1109/IAEAC54830.2022.9929698

Aiming at the lack of effective means to detect and evaluate the internal temperature field of transformer windings on site, this paper establishes a digital twin model of transformer windings and analyzes the heat distribution characteristics based on transformer winding losses. In this paper, the internal winding of a 220 kV oil-immersed transformer is taken as the research object, and the finite element method is used to calculate the winding losses of each layer. Taking the winding loss of each layer as the heat source, the electromagnetic-heat-flow coupling model is used to solve the spatial temperature distribution characteristics of the winding of each layer. Firstly, theoretical analysis is carried out to establish a real scale transformer simulation model; through parameter setting, the current of each layer winding is solved, the winding loss is calculated, and loaded into the fluid-temperature field as a heat source. Furthermore, a three-dimensional temperature digital twin model of transformer winding is established, and the temperature distribution characteristics of transformer winding are calculated. Finally, the research results can provide support for the internal temperature monitoring and analysis of the transformer.