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Simulation for Maximum Power Point Tracking Using Fuzzy Logic Control Technique

Affiliations

  • Department of EEE, SRM University, Chennai – 603203, Tamil Nadu, India
  • Bayero University, Kano, Nigeria

Abstract


Objectives: We present the simulation of fuzzy control method for haul out the highest power source from the photovoltaic (PV) scheme with change in value of temperature and under variable value of solar irradiations. Methods/Analysis: The schemerigging the fuzzy logic controller (FLC) as a MPPT controller is to take out the highest voltage and power source profile from PV scheme under variable temperature and solar irradiations. The dc-dc converter is used to boost the tracked voltage from the PV system and it fed to the 2 level voltage source inverter. Matlab/simulink worn as a software instrument to verify the simulation results of the projected scheme. Findings: The fuzzy logic controller (FLC) output power and voltage levels are compared with other MPPT algorithms and the output voltage attainment from the 2-level VSI circuit superior. The membership function of FLC for PV voltage and current sampled with variations of solar irradiations and temperature change. DC-DC conventional boost converter used for recuperating the output voltage source of the PV scheme method. Novelty/Improvement: Fuzzy logic controller stand MPPT can pull out the highest power from PV system compare to other conventional MPPT algorithms. Therefore overall proposed system output voltage can be enhanced.

Keywords

Fuzzy Logic Control (FLC) Technique,Maximum Power Point Tracking (MPPT) System, Photovoltaic (PV) Array, Voltage Source Inverter (VSI).

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References


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