Open AccessImproved maximum power point tracking algorithm with cuk converter for PV systems
Author(s) -
Sun Zongchang,
Yang Zhoujun
Publication year - 2017
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2017.0617
Subject(s) - maximum power point tracking , photovoltaic system , maximum power principle , control theory (sociology) , correctness , matlab , ćuk converter , computer science , boost converter , steady state (chemistry) , power (physics) , controller (irrigation) , buck converter , point (geometry) , algorithm , mathematics , engineering , control (management) , physics , inverter , electrical engineering , artificial intelligence , chemistry , biology , operating system , geometry , quantum mechanics , agronomy
The maximum power point tracking (MPPT) techniques are essential for the optimisation of the efficiency in the photovoltaic (PV) systems. Here, a practical PV model is discussed and employed, and cuk converter is selected as MPPT's DC–DC converter for PV systems. Then, on the basis of the power–current ( P – I ) characteristics curve of a PV cell, an improved MPPT algorithm with direct control by using the fuzzy controller is proposed. Compared with some algorithms mentioned here, the proposed algorithm is able to track a more accurate MPP quickly and have a smaller steady‐state oscillation. To validate its correctness and good performance under the varying environmental conditions, simulation study on it is carried out in MATLAB/Simulink. Also, simulation results demonstrate the proposed algorithm here is feasible and in contrast, it has a faster dynamic and more robust steady‐state performance.