高功率因数LCC谐振电路的多目标优化  

Multi-Objective Optimization of LCC Resonant Circuit with High Power Factor

作　　者：张治国[1] 谢运祥[1] 袁兆梅 

机构地区：[1]华南理工大学电力学院,广东广州510640 [2]福建龙净环保股份有限公司,福建龙岩364000

出　　处：《华南理工大学学报（自然科学版）》2012年第11期94-100,共7页Journal of South China University of Technology(Natural Science Edition)

基　　金：国家火炬计划项目(2007GH060026)

摘　　要：为了优化具电容型滤波器的LCC串并联谐振变换器的输入/输出性能,首先,基于傅里叶级数的动态相量法建立了LCC谐振电路的稳态数学模型,得到了等价电路.然后,在等价电路的基础上得到了反映变换器输入/输出性能的数学表达式.最后,提出一种基于Pareto的多目标遗传算法来对变换器的输入/输出性能进行优化.该算法采用包含密度信息的细粒度赋值策略,通过最小化目标函数获得了一组均匀分布的最优解集,可用于指导电路设计.仿真和实验结果验证了所提出的优化方法的正确性.In order to improve the input/output performance of the series-parallel LCC resonant converter with capacitive output filter,first,a steady-state mathematical model of the LCC resonant circuit is established by using the dynamic phasor based on the Fourier series,and the corresponding equivalent circuit is obtained.Then,the mathematical expressions to describe the input/output performance are deduced based on the equivalent circuit.Finally,a Pareto-based multi-objective genetic algorithm is employed to optimize the input/output performance.By adopting the fine-grained fitness assignment strategy with density estimation and by minimizing the objective functions,the algorithm helps to achieve massive and well-distributed optimal solutions for circuit design.Simulated and experimental results indicate that the proposed optimization method is correct.

关 键 词：串并联谐振变换器 动态相量模型 等价电路 遗传算法 多目标优化 

分 类 号：TM131[电气工程—电工理论与新技术]