Open AccessMPPT in PV systems using ant colony optimisation with dwindling population
Author(s) -
Krishnan G Satheesh,
Kinattingal Sundareswaran,
Simon Sishaj P,
Nayak Panugothu Srinivasa Rao
Publication year - 2020
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
ISSN - 1752-1424
DOI - 10.1049/iet-rpg.2019.0875
Subject(s) - maximum power point tracking , photovoltaic system , ant colony , population , forage , ant colony optimization algorithms , computer science , mathematical optimization , engineering , artificial intelligence , biology , mathematics , ecology , electrical engineering , demography , sociology , inverter , voltage
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.