基于<em>T</em>-<em>ψ</em> 有限元法的多目标函数变压器优化设计

doi:10.19595/j.cnki.1000-6753.tces.L90544

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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.

Key words： Transformer finite element method (FEM) multi-objective function improved generalized differential evolution optimization design

Received: 21 July 2020

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TM402

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	Yang Xinsheng
	Zhang Yunpeng
	Xu Guizhi
	Zhang Changgeng
	Fu Weinong

Cite this article:

Yang Xinsheng,Zhang Yunpeng,Xu Guizhi等. Multi-Objective Optimization Design of Transformer Base on T-ψ Finite Element Method[J]. Transactions of China Electrotechnical Society, 2021, 36(zk1): 75-83.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.L90544 OR https://dgjsxb.ces-transaction.com/EN/Y2021/V36/Izk1/75

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