南京信息工程大学学报2017，Vol.9Issue(1)：106-112,7.DOI:10.13878/j.cnki.jnuist.2017.01.015
局部遮阴下粒子群算法在光伏离网系统 最大功率点跟踪中的应用
Applications of maximum power point tracking for photovoltaic off-grid system based on particle swarm optimization algorithm under partial shaded conditions
摘要
Abstract
A control algorithm based on particle swarm optimization ( PSO) has been proposed for maximum power point tracking ( MPPT) to solve the problem that the P-U curve of PV arrays has the characteristics of multi-summit under partially shaded conditions,which makes the MPPT failed.Simulation and experimental results show that the control algorithm can obtain better control accuracy,and improve the efficiency of the PV array output.This research also improves the photovoltaic off-grid maximum power point tracking control system model.After further refinement, the new system closely meets the actual engineering needs.关键词
光伏离网系统/粒子群算法/最大功率点跟踪/局部遮阴Key words
photovoltaic off-grid system/particle swarm optimization/maximum power point tracking/partial shade分类
信息技术与安全科学引用本文复制引用
邓颖,王聪..局部遮阴下粒子群算法在光伏离网系统 最大功率点跟踪中的应用[J].南京信息工程大学学报,2017,9(1):106-112,7.基金项目
中央高校基本科研业务费专项基金(2015B38014) （2015B38014）
