电气自动化2024,Vol.46Issue(6) :8-10.DOI:10.3969/j.issn.1000-3886.2024.06.003

基于改进食肉植物算法MPPT优化分析

Optimization Analysis of MPPT Based on Improved Carnivorous Plant Algorithm

罗育华 张钟炼 李文超 杨晓辉 余琨
电气自动化2024,Vol.46Issue(6) :8-10.DOI:10.3969/j.issn.1000-3886.2024.06.003

基于改进食肉植物算法MPPT优化分析

Optimization Analysis of MPPT Based on Improved Carnivorous Plant Algorithm

罗育华 1张钟炼 2李文超 1杨晓辉 2余琨1
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作者信息

  • 1. 中国电建集团江西省水电工程局有限公司,江西南昌 330001
  • 2. 南昌大学信息工程学院,江西南昌 330027
  • 折叠

摘要

为了解决光伏阵列在求解时,遇到局部遮阴容易使结果陷入局部最优解降低光伏效率的问题,提出了一种基于改进的食肉植物算法和扰动观察法结合求解的最大功率跟踪方法.通过对算法进行案例验证,结果表明:改进后的食肉植物算法对比传统食肉植物算法求解速度更快,在静态、动态和局部遮阴下的表现均优于传统植物算法,能够改善局部遮阴出现的情况.为光伏阵列最大功率跟踪问题提供了一种有效的解决途径,具有实际应用的潜力.

Abstract

In order to solve the problem that local shading can easily trap the results into local optima and reduce the efficiency of photovoltaic arrays during solving,a maximum power tracking method based on an improved carnivorous plant algorithm and perturbation observation method was proposed.Through case verification of the algorithm,the results show that the improved carnivorous plant algorithm has a faster solving speed than traditional carnivorous plant algorithm,and performs better than traditional plant algorithms in static,dynamic,and local shading.It can improve the occurrence of local shading,thus providing an effective solution for the maximum power tracking problem of photovoltaic arrays,and therefore has practical application potential.

关键词

食肉植物算法/扰动观察法/光伏发电/莱维飞行/最大功率跟踪

Key words

carnivorous plant algorithm/perturbation observation method/photovoltaic power generation/levy flight/maximum power tracking

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出版年

2024
电气自动化
上海电气自动化设计研究所有限公司 上海市自动化学会

电气自动化

CSTPCD
影响因子:0.377
ISSN:1000-3886
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