油浸倒立式电流互感器主绝缘电场分析与优化设计

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Abstract Inverted current transformer is very different from traditional production on design and manufacture. Insulation fault often occurred in the early application. The electric field calculating model which combined FEM with analytical method is proposed in this paper. The electric field distribution in main insulation of actual oil-immersed inverted current transformer is been analyzed using this model, and the main factors which affected the insulation performance are researched. To reduce the maximum electric field strength, the main insulation structure of current transformer is optimized using radial basic function (RBF) neural network dynamic response model and genetic algorithm. After optimization, the electric field strength in main insulation is reduced, and the electric field distribution is become more homogeneous. The optimized result can instruct the design and manufacture of oil-immersed inverted current transformers.

Key words： Oil-immersed inverted current transformer the main insulation capacitance electric field distribution design optimization

Received: 24 August 2012 Published: 16 June 2014

PACS:

TM452

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	Articles by authors
	Yan Xiuke
	Sun Yang
	Yu Cunzhan
	Xie Dexin

Cite this article:

Yan Xiuke,Sun Yang,Yu Cunzhan等. Electric Field Analysis and Optimal Design of Main Insulation for <br/>Oil-Immersed Inverted Current Transformers[J]. Transactions of China Electrotechnical Society, 2014, 29(1): 37-43.

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http://dgjsxb.ces-transaction.com/EN/ OR http://dgjsxb.ces-transaction.com/EN/Y2014/V29/I1/37

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作者简介:阎秀恪女,1973年生,博士,副教授,研究方向为电气装备耦合物理场分析与优化设计。孙阳男,1986年生,硕士,研究方向为电气设备电磁场分析与优化设计。