基于改进人工搜索群算法的真空灭弧室优化  

High voltage vacuum interrupters optimization based on improved artificial search swarm algorithm

作　　者：刘亚贤[1] 陈堂功[1] 郭旺[1] 谢炳兴 

机构地区：[1]河北工业大学电磁场与电器可靠性省部共建重点实验室,天津300130

出　　处：《河北工业大学学报》2014年第2期12-16,共5页Journal of Hebei University of Technology

基　　金：国家自然科学青年基金(51107030);河北省自然科学基金(E2011202040;E2011202053)

摘　　要：人工搜索群算法是一种新颖的智能优化算法,针对算法步长对算法性能影响显著的特点,本文提出了变步长的改进算法,并利用高维复杂测试函数对其进行了性能测试和比较.在建立72.5 kV高压真空灭弧室有限元模型和优化模型的基础上,以真空灭弧室内部电场分布更加均匀为设计目标,利用改进人工搜索群算法对72.5 kV高压真空灭弧室进行了优化设计,并对优化设计前后真空灭弧室内部电场分布进行了分析比对.优化设计结果表明改进的人工搜索群算法可有效解决电磁领域的优化设计问题.Artificial Searching Swarm Algorithm is a novel intelligent optimization algorithm. Since the algorithm step influences the algorithm performance conspicuously, this paper puts forward the improved algorithm of variable step and carries out the performance test and comparison via high dimensional complex test functions. Based on the finite element model and the optimization model of 72.5KV high voltage vacuum interrupter, 72.5KV high voltage vacuum imerrupter is optimized to make the internal electric field distribution of high voltage vacuum interrupter more uniform through improved artificial search group algorithm. Then, analysis and comparison of the internal electric field distribution of vacuum interrupter before optimization designing and after optimization designing are performed. Optimization designing results show that improved artificial searching swarm algorithm can solve the problems in optimization design of electromagnetic field effectively.

关 键 词：人工搜索群算法 真空灭弧室 优化设计 智能优化算法 

分 类 号：TN92[电子电信—通信与信息系统]