基于新粒子群算法的光伏重构系统及其在纯电动汽车中的应用仿真  

Simulation of PV Reconfiguration System Based on New Particle Swarm Optimization Algorithm and Its Application in Pure Electric Vehicle

作　　者：康双宏 张云博 杨培志[1] KANG Shuanghong;ZHANG Yunbo;YANG Peizhi(School of Energy and Environmental Science,Yunnan Normal University,Kunming 650500,China)

机构地区：[1]云南师范大学能源与环境科学学院,云南昆明650500

出　　处：《云南师范大学学报（自然科学版）》2024年第5期6-10,共5页Journal of Yunnan Normal University:Natural Sciences Edition

基　　金：国家自然科学基金青年基金资助项目(52202312);云南省基础研究专项面上资助项目(202301AT070076).

摘　　要：提出了一种新粒子群算法与光伏重构系统结合的电能补充构型,以解决纯电动汽车搭载光伏发电系统在动态工况下光伏系统的最大功率点追踪(MPPT)及功率输出不稳定问题,同时通过建立仿真模型分析其功率输出特性,探讨其搭载光伏发电系统的应用方法及功率输出方面的优势.In this paper,a new particle swarm optimization(PSO)combined with PV reconstruction system is proposed to solve the problem of maximum power point tracking(MPPT)and unstable power output of PV power generation system of pure electric vehicle under dynamic working conditions.Meanwhile,simulation model is established to analyze its power output characteristics.The application method of PV power generation system and the advantages of power output are discussed.

关 键 词：纯电动汽车 光伏阵列发电 光伏重构系统 粒子群算法 

分 类 号：TM615[电气工程—电力系统及自动化]