摘要
采用平面域水平可视图电场复杂网络建网方法与遗传算法相结合的方法,进行真空灭弧室静态绝缘多目标优化。将一维时间序列水平可视图法拓展至二维电场域,以12 kV/1250 A/31.5 kA真空灭弧室为对象,建立电场复杂网络拓扑,结合平面域可视图法,对比分析各优化区域静态特征量,结果表明本方法度分布分散性小、连边数缩小6倍。此外,结合网络中心节点度值精确计算各优化目标区域权值系数,以找到权重系数分布规律。采用遗传算法,对三个中心节点集中区域的加权评价函数值最小为优化目标的真空灭弧室电场进行多目标优化,得到静态绝缘及网络特征量统计值变化,以验证优化效果。
Combining the complex network construction method of the horizontal viewable electric field in the plane domain and the genetic algorithm, the static insulation multi-objective optimization of the vacuum interrupter is carried out. Extending the one-dimensional time series horizontal view method to the two-dimensional electric field domain, electric field complex network topology for a 12 kV/1250 A/31.5 kA vacuum interrupter is established to compare and analyze the static characteristics of each optimized area with the plane domain view method. The results show that the decentralization of the degree distribution is small, and the number of connected edges is reduced by 6 times. Additionally, combined with the network hub node degree value, the weight coefficient of each optimization target is accurately calculated to find the weight coefficient distribution, and the weighted evaluation function value of the hub node concentrated region is minimized by the genetic algorithm. In order to verify the optimization effect, the statistical values of static insulation and network characteristics are analyzed.
作者
马士奇
刘晓明
陈海
姜文涛
李培源
MA Shiqi;LIU Xiaoming;CHEN Hai;JIANG Wentao;LI Peiyuan(School of Electrical Engineering,Tiangong University,Tianjin 300387,China;State Key Laboratory of Reliability and Intelligence of Electrical Equipment,School of Electrical Engineering,Hebei University of Technology,Tianjin 300130,China)
出处
《真空科学与技术学报》
CAS
CSCD
北大核心
2022年第2期118-124,共7页
Chinese Journal of Vacuum Science and Technology
基金
中央引导地方科技发展专项项目(No.20ZYJDJC00060)
河北省自然科学基金重点项目(No.E2020202086)
国家自然科学基金面上项目(No.51777136)。
关键词
真空灭弧室
复杂网络
多目标优化
水平可视图
静态绝缘
Vacuum interrupter
Complex network
Multi-objective optimization
HVG
Static insulation
