Modelling and Simulation of Fuzzy Logic Control Based Perturb & Observation Technique for Mppt in Photovoltaic System

Abstract

Solar Photovoltaic (PV) exploitation is a significant renewable energy source in our world. The energy converted directly from sunlight through PV panel is not stable due to different solar intensity. Maximum power point tracking (MPPT) is used extract maximum power from the solar panel, high-performance soft computing techniques like fuzzy logic controller can be used as a MPPT. In this paper, a fuzzy logic control (FLC) is proposed to monitor and control the MPPT for a photovoltaic (PV) system. The proposed technique uses a FLC for the enhancement of these Maximum Power Point (MPP) trackers are designed. The FLC based Perturb and Observe (P&O) results are compared with the conventional P&O under different conditions using MATLAB/Simulink.

Authors and Affiliations

P. Gokul, B. Priyadharshini, R. Sundar

Keywords

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  • EP ID EP23602
  • DOI http://doi.org/10.22214/ijraset.2017.3142
  • Views 295
  • Downloads 8

How To Cite

P. Gokul, B. Priyadharshini, R. Sundar (2017). Modelling and Simulation of Fuzzy Logic Control Based Perturb & Observation Technique for Mppt in Photovoltaic System. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 5(3), -. https://europub.co.uk/articles/-A-23602