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has been cited by the following article:

• TITLE: MPPT Design Using PSO Technique for Photovoltaic System Control Comparing to Fuzzy Logic and P&O Controllers

  AUTHORS: O. Ben Belghith, L. Sbita, F. Bettaher

  KEYWORDS: Photovoltaic System, MPPT Controller, Buck Converter, Perturb and Observe “P&O”, Fuzzy Logic “Fuzzy TS”, Particle Swarm Optimization “PSO”

  JOURNAL NAME: Energy and Power Engineering, Vol.8 No.11, November 30, 2016

  ABSTRACT: The Maximum Power Point Tracker (MPPT) is the optimum operating point of a photovoltaic module. It plays a very important role to obtain the maximum power of a solar panel as it allows an optimal use of a photovoltaic system, regardless of irradiation and temperature variations. In this research, we present a novel technique to improve the control’s performances optimization of the system consisting of a photovoltaic panel, a buck converter and a load. Simulations of different parts of the system are developed under Matlab/Simulink, thus allowing a comparison between the performances of the three studied controllers: “Fuzzy TS”, “P&O” and “PSO”. The three algorithms of MPPT associated with these techniques are tested in different meteorological conditions. The obtained results, in different operating conditions, reveal a clear improvement of controlling performances of MPPT of a photovoltaic system when the PSO tracking technique is used.