Temperature Rise Calculation and Structure Optimization Research of Transformer Winding Based on Electromagnetic-fluid-thermal Coupling
The temperature rise of transformer is the key factor affecting its operating state and service life.In order to obtain the temperature distribution of an oil-immersed transformer in the winding area accurately,the electromagnet-ic-fluid-thermal coupling process of the winding is numerically studied by the finite element method(FEM).According to the distribution characteristics of electromagnetic and fluid-temperature field,the calculation models of transformer and winding are established,respectively.Based on heterogeneous grid node data mapping method,the non-average winding loss obtained from the electromagnetic field analysis is loaded into the fluid-temperature field grid as the heat source,and the heat source is modified according to the temperature at each iteration.The bidirectional coupling between electro-magnetic field and fluid-temperature field is realized.On this basis,the response surface of the hot pot temperature and winding structure parameters is established,and the multi-objective optimization research with the purpose of minimizing the winding hot spot temperature and conductor material consumption is carried out.The Pareto optimal solution is ob-tained by the non-dominated sorting genetic algorithm(NSGA-Ⅱ),and the four optimization schemes on the Pareto front are analyzed.The results show that the optimized winding hot spot temperature and the amount of conductor are signifi-cantly reduced.The research of this paper provides a feasible method for the optimal design of transformer structure.
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