基于改进粒子群算法的定日镜场优化设计模型  

Optimimal Model of Heliostat Field Based on Improved Particle Swarm Optimization Algorithm

作　　者：余国锋[1] 徐辉[1] YU Guofeng;XU Hui(Department of Public Education,Anhui Business and Technology College,Hefei,Anhui 231131,China)

机构地区：[1]安徽工商职业学院公共课教学部,安徽合肥231131

出　　处：《保定学院学报》2024年第3期101-108,共8页Journal of Baoding University

基　　金：安徽省级人文社科重点项目“职业本科教育背景下、构建融合创新创业职业教育新课堂——STEAM视角下高等数学课题教学为例”(SK2021A1094)。

摘　　要：定日镜场是塔式光热电站的重要子系统.定日镜的优化布置问题是塔式光热电站建设需要解决的关键问题.以塔式光热电站的定日镜场为研究对象,建立阴影遮挡效率模型、余弦效率模型、截断效率模型以及大气透射率模型,得出定日镜场的光学效率.以镜场年平均输出热功率作为目标函数,建立非线性规划模型,用基于同心圆的粒子群算法进行圆形定日镜场的参数设计及优化求解.通过迭代寻优,找到年平均输出热功率最大时即可找到粒子的特征因子的最优解.The heliostat field is an important subsystem of the tower CSP station.The optimal layout of the heliostat field is a key issues to be solved in the early stage of the tower CSP station construction.This dissertation takes the heliostat field of a tower CSP station as the research object.In order to calculate the optical efficiency of the heliostat field,a shadow occlusion efficiency model,cosine efficiency model,truncation efficiency model,and atmospheric transmittance model are established.Establish a nonlinear programming model with the annual average output thermal power of the mirror field as the objective function,and use a particle swarm optimization algorithm based on concentric circles to design and optimize the parameters of the circular heliostat field.By iterative optimization,the optimal solution for the characteristic factor of particles can be found when the annual average output thermal power is maximum.

关 键 词：定日镜场 塔式光热发电 热功率 改进粒子群算法 

分 类 号：O29[理学—应用数学]