双三相永磁同步发电机多目标优化设计

为实现双三相永磁同步发电机(PMSG)的低固有电压调整率、高发电效率和低成本的特性,研究了侧重于降低固有电压调整率的多目标优化设计方案。采用解析法建立单元电机磁链模型,以永磁体磁化方向长度、永磁体所跨弧长和单元电机相绕组匝数为设计变量,分析上述参数对固有电压调整率、发电效率等评价指标的影响,并提出了基于权重系数的多目标优化函数。分别用标准遗传算法(SGA)、差分进化算法(DE)和基于以上2种算法的混合遗传算法(HGA)优化设计参数并进行对比。试验结果表明,HGA优化效果与设计目标具有良好的一致性,与初始设计参数相比,优化后的电机输出能力以及稳压能力均有所改善。

MultiObjective Optimization of Dual ThreePhase Permanent Magnet Synchronous Generator

In order to make dual threephase permanent magnet synchronous generator (PMSG) show its characteristics of low inherent voltage regulation, high generating efficiency and low cost, multiobjective optimization design methods were studied considering priority to reduction of inherent voltage regulation. By using analytical method to create fluxlinkage model of unit motor, and taking length of magnetization direction, arc length of permanent magnet and turnsinseries perphase of unit motor as variables, the influences of variables on evaluation indices such as inherent voltage regulation and generator efficiency were analyzed and a multiobjective optimization function with weight coefficients was proposed. Standard genetic algorithm (SGA), differential evolution (DE) and hybrid genetic algorithm (HGA) based on SGA and DE were used to optimize the design parameters, and the optimization results were compared. The results confirmed that HGA optimization results had a good consistency with the design objective, and the output capacity and voltage stabilization of the optimized generator were improved in comparison with the original design.