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局部阴影下基于遗传蚁群算法对MPPT的研究

刘建辉 李博

可再生能源2017,Vol.35Issue(1):13-19,7.
可再生能源2017,Vol.35Issue(1):13-19,7.

局部阴影下基于遗传蚁群算法对MPPT的研究

Partial shadow MPPT based on genetic ant colony algorithm

刘建辉 1李博1

作者信息

  • 1. 西安建筑科技大学机电工程学院,陕西西安710055
  • 折叠

摘要

Abstract

In view of the P-V characteristic curve of PV array,the maximum power point is used as the research object.In order to solve this problem,the author takes MPPT as the research object and put forward MPPT algorithm on the basis of genetic ant colony algorithm.This method is based on the idea of genetic algorithm.It effectively combines the two methods together by introducing the idea of pheromone accumulation in ant colony algorithm,which solves the problem of low searching efficiency.In the simulation calculation which meantime through model and simulation,the author has seen a significant rise in convergent rate and accuracy.In actual application,compared with the existing algorithm,the new genetic ant colony algorithm could fast find out maximum power points,which the time used is reduced by 80%.

关键词

光伏发电系统/局部遮挡/最大功率点跟踪/遗传蚁群算法

Key words

photovoltaic system/partial occlusions/maximum power point tracking/genetic ant colony algorithm

分类

能源科技

引用本文复制引用

刘建辉,李博..局部阴影下基于遗传蚁群算法对MPPT的研究[J].可再生能源,2017,35(1):13-19,7.

基金项目

陕西省教育厅科研基金(11JK0875). (11JK0875)

可再生能源

OA北大核心CSTPCD

1671-5292

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