基于改进PSO的无刷双馈风力发电机优化设计  

DESIGN OPTIMIZATION OF BRUSHLESS DOUBLY-FED WIND POWER GENERATOR BASED ON IMPROVED PSO ALGORITHM

作　　者：高保龙[1,2] 李景灿[1] 韩力[1] 杨硕 罗张尧 卢彬[1] 

机构地区：[1]重庆大学输配电装备及系统安全与新技术国家重点实验室 [2]中国人民解放军92330部队 [3]青岛特锐德电气股份有限公司

出　　处：《太阳能学报》2015年第8期1833-1840,共8页Acta Energiae Solaris Sinica

基　　金：中央高校基本科研业务费科研专项自然科学类项目(CDJZR12150022)

摘　　要：以无刷双馈风力发电机(BDFG)为研究对象,建立BDFG的优化设计模型,提出相应的优化目标、优化变量和约束条件。针对粒子群优化(PSO)算法易出现早熟收敛及陷入局部最优的现象,提出一种全参数振荡粒子群优化(OAPS-PSO)算法。在此基础上,采用OAPS-PSO算法对一台5 k W的BDFG样机进行优化设计,分别以有效材料成本最低和平均效率最高为优化目标,得出两套BDFG优化方案。结果表明,通过优化可使样机的有效材料成本下降6.9%或平均效率提高3.3%,说明该文提出的OAPS-PSO算法可有效应用于BDFG的优化设计。To research the Brushless Doubly-Fed Generator （BDFG） in wind power systems, the BDFG design optimization model was established, and the corresponding optimization objectives, optimization variables and constraints were put forward. Aiming at the premature convergence and local optimum phenomena of Particle Swarm Optimization （PSO） algorithm, an Oscillating All Parameters Strategy Particle Swarm Optimization （OAPS-PSO） algorithm was proposed. Furthermore, a 5 kW BDFG prototype was optimized by the OAPS-PSO algorithm. Then 2 BDFG optimization schemes were obtained with the lowest cost of effective material and the highest average efficiency as the optimization objectives, respectively. The results showed that the optimization schemes reduce the cost of effective material by 6.9% or increase the average efficiency by 3.3%, the OAPS-PSO algorithm can be effectively applied to optimization design of BDFG.

关 键 词：无刷双馈发电机 风力发电 电磁设计 粒子群优化 

分 类 号：TM315[电气工程—电机] O224[理学—运筹学与控制论]