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Gaojian Huang
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COMPARISON OF MPPT ALGORITHMS FOR DC-DC BOOST CONVERTER IN GRID-TIED PHOTOVOLTAIC SYSTEMS

Nabila Shehata, Ahmed E. A. Hussien, Walid S. E. Abdellatif, Praveen C Ramamurthy, Ahmed Emad-Eldeen

DOI: 10.15598/aeee.v22i2.5318


Abstract

In unpredictable weather circumstances, a maximum power point tracking (MPPT) approach is critical for ensuring maximum photovoltaic (PV) output power is extracted. In This paper we will compare the incremental conductance algorithm (IC) , ρerturb and Observe (ρ& o) ,and the fuzzy logic controller (FLC) as maximum power point tracking (MPPT) techniques. The three algorithms were used on a photovoltaic energy conversion system that was linked to a grid. The suggested methodologies investigate the photovoltaic (PV) system's solar energy conversion performance under various irradiance and temperature circumstances. Lastly, a performance comparison between IC , P O, and FLC has been performed, demonstrating the superiority of the fuzzy controller over the other approaches. FLC converts photovoltaic electricity readily, reducing fluctuations, and it responds quickly to variations in solar irradiation (shading effect). The simulation results demonstrate that the controller using fuzzy logic performs well, allowing the inverter to convert electricity provided by the solar panels.

Keywords


Fuzzy logic control; Perturbation and observation; Incremental conductance; Maximum power point tracking; Photovoltaic; Dc/Dc converter; MATLAB; SIMULINK.

References

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