Title: Comparative analysis of unity power factor grid-connected PV system with PI and fuzzy-based controllers

Authors: S. Amuthameena; G. Amuthan; L. Ganesan

Addresses: Department of Electronics and Instrumentation Engineering, M. Kumarasamy College of Engineering (Autonomous), Karur 639 113, Tamil Nadu, India ' Department of Electrical and Electronics Engineering, Alagappa Chettiar College of Engineering and Technology (Autonomous), Karaikudi 630 003, Tamil Nadu, India ' Department of Computer Science and Engineering, Alagappa Chettiar College of Engineering and Technology (Autonomous), Karaikudi 630 003, Tamil Nadu, India

Abstract: Herein, we report the comparative analysis of a proposed fuzzy logic controller with conventional incremental conductance algorithm for maximum power point tracking (MPPT) with proportional integral (PI) controller of a unity power factor grid-connected photovoltaic (PV) inverter. In the conventional controller, incremental conductance MPPT algorithm with PI controller has been implemented. In the fuzzy logic controller, inputs and outputs are chosen for this study, rules relating them are written and the simulation is performed. Simulation model of a 40 W solar panel using single diode model is developed and results are obtained for PI controller and fuzzy logic controller for different irradiation and temperature conditions. Results show the ability of fuzzy logic controller to give a performance nearly similar to that of incremental conductance algorithm with increased robustness. Also it is inferred that when the conditions become low, PI controller shows poor performance when compared to fuzzy logic controller.

Keywords: fuzzy logic controllers; FLC; fuzzy control; incremental conductance algorithm; unity power factor; grid-connected PV system; photovoltaic systems; PI control; solar energy; solar power; maximum power point tracking; MPPT; simulation; solar panels.

DOI: 10.1504/IJPELEC.2017.082939

International Journal of Power Electronics, 2017 Vol.8 No.2, pp.159 - 177

Available online: 08 Mar 2017 *

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