Open AccessOil exponent thermal modelling for traction transformer under multiple overloads
Author(s) -
Zhou Lijun,
Wang Lujia,
Tang Haolong,
Wang Jian,
Guo Lei,
Cui Yi
Publication year - 2018
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2018.5084
Subject(s) - traction (geology) , transformer , exponent , thermal , computer science , materials science , engineering , mechanical engineering , electrical engineering , physics , voltage , thermodynamics , linguistics , philosophy
To quantify the non‐linear variation of top‐oil temperature with load current, and further investigate the key parameters in the thermal model, a model for calculating the oil exponent is proposed in this study. First, a global oil momentum model was established based on the fluid resistance characteristic. Then, based on the heat transfer coupling relationship between the winding, the oil flow, and the radiator (outside air), a set of control equations describing the oil temperature and the oil flow rate was established by using energy conservation. Simultaneously, the top‐oil temperature was recorded from a field traction transformer to verify the physical part of the proposed model. The regression model parameters were identified with the ordinary least‐square estimation so the oil exponent can be calculated naturally. The calculated oil exponent of the traction transformer at a wide range of load was 0.7308, so the accuracy was improved by 9.47% compared with the IEEE/IEC recommended value. Newly updated oil exponent was also verified through a dynamic overload heat run test. It is expected that the proposed oil exponent model can help in estimating top‐oil temperature with more convenience and accuracy, especially in frequent overload conditions.