高压电器2026，Vol.62Issue(1)：25-31,7.DOI:10.13296/j.1001-1609.hva.2026.01.004
基于改进遗传算法的高压隔离开关主开关机构优化设计
Optimization Design of the Main Switch Mechanism of High Voltage Disconnector Based on Improved Genetic Algorithm
摘要
Abstract
Horizontal pantograph high voltage disconnector is widely used in high voltage power grid due to its small footprint and provision of a clearly visible isolation gap.However,a large variation of gravity torque of the main blade mechanism is generated during the opening and closing operation.In addition to installing the appropriate switch spring,the structure also needs to be optimized so to reduce the driving torque required by the mechanism.In this pa-per,the 550 kV AC high voltage disconnector is taken as the object,the mechanical analysis of the main switch mech-anism is performed and,on the basis of the improved genetic algorithm,the optimized design of the main switch mecha-nism is performed,the dynamic simulation model is set up and verified so to determine the minimum value of the mo-tor driving torque required for the high voltage disconnector.The results show that the maximum motor driving torque required by the improved genetic algorithm,compared with the traditional scheme,is reduced by 22%and the varia-tion of driving torque is reduced by 43%.After the optimization,the force of the transmission part of the main switch mechanism of the horizontal pantograph high-voltage disconnector and the torque variation during the operation peri-od are reduced,thereby improving the stability of the opening and closing operation of the high-voltage disconnector.关键词
高压隔离开关/机构优化设计/改进遗传算法/动力学仿真Key words
high voltage disconnector/structural optimization design/improved genetic algorithm/dynamic simulation引用本文复制引用
江鹏林,胡明,吴权峰,林青云,李维忠,叶杰凯,路明雪..基于改进遗传算法的高压隔离开关主开关机构优化设计[J].高压电器,2026,62(1):25-31,7.基金项目
国家市场监督管理总局科技计划项目(2022MK053) （2022MK053）
国家重点研发计划项目(2018YFB1308100) （2018YFB1308100）
国家自然科学基金项目(51375458).Project Supported by Science and Technology Planning Project of the State Administration for Market Regulation(2022MK053),National Key Research and Development Program of China(2018YFB1308100),National Natural Science Foundation of China(51375458). （51375458）
