A fuzzy maximum power point tracking method for photovoltaic systems using a single input current sensor. Issue 6 (11th September 2016)

• Record Type: Journal Article
• Authors: Tousi, S. M. Reza; Moradi, Mohammad Hassan; Bahrami, Amin
• Is Part Of: IEEJ transactions on electrical and electronic engineering. Volume 11:Issue 6(2016:Nov.)
• Page Start: 700
• Page End: 707
• Publication Date: 2016-09-11
• Subjects: fuzzy controller -- maximum power point tracking -- photovoltaic systems -- single‐input current sensor; Electrical engineering -- Periodicals; Electronics -- Periodicals; 621.3
• DOI: 10.1002/tee.22294
• Languages: English
• ISSNs: 1931-4973

Abstract

Abstract : 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.