MPPT in PV systems using ant colony optimisation with dwindling population

被引：73

作者：

Krishnan, Satheesh G. ^{[1
]}

Kinattingal, Sundareswaran ^{[1
]}

Simon, Sishaj P. ^{[1
]}

Nayak, Panugothu Srinivasa Rao ^{[1
]}

机构：

[1] Natl Inst Technol, Elect & Elect Engn Dept, Tiruchirappalli, Tamil Nadu, India

来源：

IET RENEWABLE POWER GENERATION | 2020年 / 14卷 / 07期

关键词：

photovoltaic power systems; ant colony optimisation; maximum power point trackers; power generation control; optimisation; search problems; PV system; dwindling population; maximum power point tracking; photovoltaic systems; artificial ants; potential ants; higher power peaks; MPPT curves; PV configurations; POWER POINT TRACKING; PHOTOVOLTAIC SYSTEMS; HARDWARE IMPLEMENTATION; ALGORITHM;

D O I：

10.1049/iet-rpg.2019.0875

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Ant colony optimisation has been tailored to suit maximum power point tracking (MPPT) in photovoltaic (PV) systems and is presented in this study. Artificial ants are deployed in the solution space and are made to forage and the ants which find better sources of food are retained while ants fail to search effectively are deleted from the population. The greedy search of potential ants for better food location leads to identification of higher power peaks in the PV system. The concept is modelled suitably and MPPT curves in a few PV configurations are simulated and found to be promising. Experiments were also conducted to show the veracity of the new method.

引用

页码：1105 / 1112

页数：8

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