A Lipschitz Optimization-Based MPPT Algorithm for Photovoltaic System Under Partial Shading Condition

被引：32
作者：
Li, Wenfan [1 ]
Zhang, Guogang [1 ]
Pan, Tingzhe [1 ]
Zhang, Zeyu [1 ]
Geng, Yingsan [1 ]
Wang, Jianhua [1 ]
机构：
[1] Xi An Jiao Tong Univ, Sch Elect Engn, State Key Lab Elect Insulat & Power Equipment, Xian 710049, Shaanxi, Peoples R China
来源：
IEEE ACCESS | 2019年 / 7卷 / 126323-126333期
关键词：
Global maximum power point (GMPP); Lipschitz optimization (LIPO); maximum power point tracking (MPPT); partially shaded condition (PSC); POWER POINT TRACKING; SENSOR-BASED MPPT; PV SYSTEMS; SHADED CONDITIONS; STEADY-STATE; SOLAR;
D O I：
10.1109/ACCESS.2019.2939095
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The power-voltage curve of a photovoltaic (PV) array shows multiple power peaks under partially shading conditions (PSCs). Hence, conventional maximum power point tracking (MPPT) algorithms can not guarantee the maximum power output of the PV array. In this study, a novel Lipschitz optimization (LIPO) MPPT algorithm, which is effective under PSCs, is proposed and analyzed. Its tracking speed is very fast and tracking efficiency is above 98%. The characteristics of a PV array under PSCs are first analyzed and then the working principle of the proposed LIPO MPPT algorithm is explained. In order to validate the performance of the proposed algorithm, two popular MPPT algorithms, i.e., the modified particle swarm optimization (M-PSO) algorithm and the modified firefly optimization (M-firefly) algorithm, are chosen to compare with it. All three algorithms are fulfilled and compared with each other through both simulations and experiments and the results show that the proposed MPPT algorithm has good performance.
引用
收藏
页码：126323 / 126333
页数：11
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