Electric Field Analysis and Optimal Design of Main Insulation for <br/>Oil-Immersed Inverted Current Transformers
Yan Xiuke1, Sun Yang2, Yu Cunzhan3, Xie Dexin1
1. Shenyang University of Technology Shenyang 110870 China; 2. TEBA Shenyang Transformer Group Co. Ltd Shenyang 110144 China; 3. Liaoning Electric Power Co. Ltd Shenyang 110003 China
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.
阎秀恪, 孙阳, 于存湛, 谢德馨. 油浸倒立式电流互感器主绝缘电场分析与优化设计[J]. 电工技术学报, 2014, 29(1): 37-43.
Yan Xiuke, Sun Yang, Yu Cunzhan, Xie Dexin. Electric Field Analysis and Optimal Design of Main Insulation for <br/>Oil-Immersed Inverted Current Transformers. Transactions of China Electrotechnical Society, 2014, 29(1): 37-43.
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2014, Vol. 29 
