Open AccessResearch on control strategy of maximum power tracking variable step size perturbation & observation method for photovoltaic power generation system
Author(s) -
Zhen Gao,
Kai Fei,
Ning Zhang
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/675/1/012096
Subject(s) - control theory (sociology) , converters , photovoltaic system , perturbation (astronomy) , maximum power point tracking , tracking (education) , maximum power principle , oscillation (cell signaling) , power optimizer , computer science , power (physics) , engineering , voltage , control (management) , artificial intelligence , physics , electrical engineering , psychology , pedagogy , quantum mechanics , inverter , biology , genetics
There are three defects of traditional perturbation and observation method in the maximum power tracking control process of photovoltaic power generation systems, which are oscillation, misjudgment and poor tracking accuracy. Thus, a variable step perturbation and observation method based on power prediction is proposed for three-level DC/DC converters in this paper, which effectively solved oscillation, misjudgment, tracking accuracy problems, improving the tracking speed and precision of the algorithm, and the verification results of the maximum power tracking algorithm based on the three-level DC/DC converter structure has also been indicated.