油浸倒立式电流互感器主绝缘电场分析与优化设计

Electric Field Analysis and Optimal Design of Main Insulation for Oil-Immersed Inverted Current Transformers

倒立式电流互感器在设计和制造工艺上较传统正立式产品有很大的区别,产品应用初期事故率较高,而绝缘事故占有较大比例。本文针对实际的油浸倒立式电流互感器的结构特点,提出有限元法与解析法相结合的电场计算模型,分层分段计算得到主绝缘的电场分布,并分析了影响绝缘性能的主要因素。采用径向基函数(RBF)神经网络动态响应模型结合遗传算法的优化策略,以降低最大场强为目标函数进行优化主绝缘设计。优化后的绝缘结构,主绝缘内的电场强度降低,电场分布更加均匀。优化方案为油浸倒立式电流互感器的设计和制造提供了理论指导和设计参考。

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.