Maximum Power Point Tracking for PV Array under Partially Shaded Conditions Based on Glowworm Swarm Optimization Algorithm

被引：0

作者：

Li, Hengjie ^{[1
]}

Kang, Kailan ^{[1
]}

Chen, Wei ^{[1
]}

Zeng, Xianqiang ^{[1
]}

机构：

[1] Lanzhou Univ Technol, Lanzhou, Peoples R China

来源：

2016 3RD INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGY FOR EDUCATION (ICTE 2016) | 2016年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

When the PV array under partially shaded conditions, the change of output curve is larger than uniform solar irradiance, the P-U characteristic curve exhibits multiple peaks. Therefore, the traditional maximum power tracking method may fail. At the problem of multiple peaks, the improved GSO algorithm is applied to the maximum power tracking of PV array under partially shaded conditions in this paper. Simulation results indicate that the improved GSO algorithm can quickly and accurately track the maximum power point and ensure the efficient use of power. And compared with the particle swarm optimization algorithm, the superiority of this method is obtained.

引用

页码：146 / 150

页数：5

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