摘要
针对Vienna整流器主电路拓扑结构,提出具有离散变量的多目标优化设计方法,建立以功率密度、效率模型为目标函数,以输入电感、IGBT、Diode和输出电容器参数建立的元器件数据库为约束条件的多目标优化问题,采用NSGA-Ⅱ算法处理离散变量的多目标优化问题,从众多解集中快速、精确地寻找到帕雷托最优解集,对最优解集进行折衷分析可为整流器做出合理地器件选择。仿真实验验证了该方法的可行性。
This paper presented a multi-objective optimization design method with the discrete variables for Vienna rectifier's power circuit. A multi-objective optimization problem can be established with the objective function of models about power density and efficiency and the constraint of the component database built by the parameter of input inductor, IGBT, Diode and output capacitor. The NSGA-II algorithm is used to process the problem of a multi-objective optimization with discrete variables and finding the pareto optimal solution of a very large solution space quickly and accurately, and the right choice of components can be made by performing the trade-off analysis for the optimal solution when selecting the power components. This method was proved feasible by simulation test. © 2016 Chin. Soc. for Elec. Eng.
出处
《中国电机工程学报》
EI
CSCD
北大核心
2016年第S1期179-185,共7页
Proceedings of the CSEE
基金
国家自然科学基金项目(51477011)
北京市自然科学基金重点项目(KZ201511232035)
北京市属高校科技创新能力提升计划项目(TJSHG201310772024)
Project Supported by National Natural Science Foundation of China(51477011)
Program of Beijing Natural Science Foundation(KZ201511232035)
Funding Project for Science and Technology Innovation Ability Enhancement in Institutions under the Jurisdiction of Beijing Municipality(TJSHG201310772024)
关键词
VIENNA整流器
多目标优化
NSGA-Ⅱ算法
最优解集
折衷分析
Economic and social effects
Electric rectifiers
Optimal systems
Optimization
Pareto principle
Rectifying circuits
