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A fuzzy maximum power point tracking method for photovoltaic systems using a single input current sensor
Author(s) -
Tousi S. M. Reza,
Moradi Mohammad Hassan,
Bahrami Amin
Publication year - 2016
Publication title -
ieej transactions on electrical and electronic engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 30
eISSN - 1931-4981
pISSN - 1931-4973
DOI - 10.1002/tee.22294
Subject(s) - maximum power point tracking , photovoltaic system , duty cycle , control theory (sociology) , matlab , current sensor , fuzzy logic , maximum power principle , computer science , controller (irrigation) , power (physics) , engineering , control engineering , current (fluid) , inverter , voltage , control (management) , electrical engineering , agronomy , artificial intelligence , biology , physics , quantum mechanics , operating system
Maximum power point tracking (MPPT) is one of the major issues in photovoltaic (PV) systems and plays a vital role in optimal utilization of these systems for practical applications. In this paper, we propose a new MPPT method that requires only one current sensor in PV panel side and uses a fuzzy controller to generate proper duty cycle for the DC–DC converter in a PV system. The input current sensor‐based fuzzy MPPT method (ICSF) exhibits proper operation both under steady state and dynamic tests and also performs well in case of severe environmental variations. The proposed method has been simulated in the MATLAB/Simulink workspace and compared with some major MPPT methods. The results reveal that the proposed method behaves well in various conditions. © 2016 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.