高压电器2017，Vol.53Issue(4)：25-30,6.DOI:10.13296/j.1001-1609.hva.2017.04.005
采用遗传算法的低压开关电弧反演
Arc Inversion with Genetic Algorithm for Low Voltage Switch
摘要
Abstract
The analysis of the dynamic process for switching arc has a great significance in advancing the utility and operational life of the electrical apparatus.Based on the relationship between the current distribution and the corresponding magnetic field,the arc in the air-circuit-breaker is considered as the superstition of current line with variable diameter.According to the Biot-Savart's law,the magnetic field distribution produced by the bunch of currein lines is calculated,and the mathematical inversion method is adopted to obtain the domain in which the current lines passing through.In consideration of the complexity of inversion expressions and the large number of the number of the unknown quantities,the nonlinear equations are transformed into optimization issues.On the basis of the above research,GA(Genetic Algorithm)is adopted to fix the position of the arc current line in the space.The penalty function is introduced into the optimization process of GA objective function.With this constraints,the ill-posed problem is disposed of effectively.The quantitative characterization of the position and morphologic description for the low voltage switching arc in two dimensional is obtained eventually based on the magnetic field distribution.关键词
开关电孤/反演问题/遗传算法/非线性优化Key words
switching arc/inversion problem/genetic algorithm/nonlinear optimization引用本文复制引用
赵宏晨,刘晓明,李龙女..采用遗传算法的低压开关电弧反演[J].高压电器,2017,53(4):25-30,6.基金项目
国家自然科学基金面上项目(51377106).Project Supported by the National Natural Science Surface Foundation of China(51377106). （51377106）
