Multi-Objective Optimization Design of Transformer Base on T-ψ Finite Element Method
Yang Xinsheng1, Zhang Yunpeng2, Xu Guizhi1, Zhang Changgeng1, Fu Weinong3
1. State Key Laboratory of Reliability and Intelligence of Electrical Equipment Hebei University of Technology Tianjin 300130 China; 2. School of Mechatronic Engineering and Automation Shanghai University Shanghai 200444 China; 3. Department of Electrical Engineering The Hong Kong Polytechnic University Hong Kong 999077 China
Abstract：With rapid increase in capacity and voltage grade of power grid, higher requirement of optimal design of transformer is carried out by clients. In this paper, the optimization design of topology structure of transformer is implemented with the constraints of multi-objective function optimization based on vector potential-scalar magnetic T-ψ finite element method (FEM) to improve transformer performance and reduce cost. Due to the transformer optimization design involves multi-parameters and multi-objective function, an improved generalized differential evolution 3 (GDE3) is employed to achieve fast global optimization. Because of per candidate requires the FEM to verify the characteristics of transformer, which is time cost. In order to reduce the time required for transformer simulation verification, under the premise of ensuring accuracy, a coarser mesh is adopted in the search for excellence, and after the optimal case is determined, the performance parameters of the transformer are compared and verified by combining the refined mesh with finite element method. Compared with the parameters of the original transformer, the copper loss is reduced by 4.5%, the iron loss is increased by 0.81%, but the total loss was reduced by 3.62% and the manufacturing cost is reduced by 3.89%. Adopting the refine mesh, the error of core loss is 0.825%, which is an acceptable range of the engineering application, to verify the correct and validity of this method, and this method also can be applied to optimized design of other electrical equipment.
杨新生, 张云鹏, 徐桂芝, 张长庚, 傅为农. 基于T-ψ 有限元法的多目标函数变压器优化设计[J]. 电工技术学报, 2021, 36(zk1): 75-83.
Yang Xinsheng, Zhang Yunpeng, Xu Guizhi, Zhang Changgeng, Fu Weinong. Multi-Objective Optimization Design of Transformer Base on T-ψ Finite Element Method. Transactions of China Electrotechnical Society, 2021, 36(zk1): 75-83.
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