JIANG Zhan-peng1, WEN Yuan-fang1, FAN Xiao-hui2. Global Optimization of Structure Design for Phenolic Laminate in Transformer Tap Switch Using Neural Network Method[J]. High voltageapparatus, 2011, 47(3): 47-52.
JIANG Zhan-peng1, WEN Yuan-fang1, FAN Xiao-hui2. Global Optimization of Structure Design for Phenolic Laminate in Transformer Tap Switch Using Neural Network Method[J]. High voltageapparatus, 2011, 47(3): 47-52. DOI: 10.13296/j.1001-1609.hva.2011.03.009.
Global Optimization of Structure Design for Phenolic Laminate in Transformer Tap Switch Using Neural Network Method
To improve the electric field environment of a transformer tap switch
this study focuses on the electric field distribution on the phenolic laminate in the transformer tap switch.The electric field of this insulation material was calculated based on finite element method.An optimization method of structure design was proposed by using neural network.In this optimization method
a multi-input and multi-constrained output model was establish through artificial neural network for the phenolic laminate insulation structure parameters-insulation electric field distribution.An optimization algorithm and programming languages were employed to construct the optimization method to achieve the global optimization of the phenolic laminate insulation structure.