Research on Photovoltaic Control Strategy Based on Particle Swarm Optimization Algorithm

被引：0

作者：

Chen, Huaizhong ^{[1
]}

机构：

[1] Zhejiang Ind Polytech Coll, Shaoxing, Peoples R China

来源：

PROCEEDINGS OF THE 2016 6TH INTERNATIONAL CONFERENCE ON MECHATRONICS, COMPUTER AND EDUCATION INFORMATIONIZATION (MCEI 2016) | 2016年 / 130卷

关键词：

PSO; Photovoltaic Power; MPPT; Algorithm;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Aiming at the disadvantage of low accuracy of the photovoltaic maximum power point constant voltage method, a photovoltaic MPPT algorithm based on particle swarm optimization algorithm (PSO) is proposed. Based on the analysis and research of the photovoltaic array maximum power point tracking algorithm, the traditional MPPT control is optimized.When the system deviates from the maximum power point, the particle swarm optimization is used to make the maximum power control, which makes the MPPT to ensure the tracking speed and improve the tracking accuracy. Finally, the algorithm is simulated by Matlab, and the results show that the control system can track the maximum power point quickly.

引用

页码：504 / 508

页数：5

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