• Rahul Ghore
• Subinoy Roy

Solar Photovoltaic (PV) exploitation is a significant renewable energy source. The energy converted directly from sunlight through PV panel is not steady due to different solar intensity. Maximum power point tracking (MPPT) is used extract maximum power from the solar panel, high-performance soft computing techniques can be used as a maximum power point tracking techniques. This paper proposes fuzzy logic controller (FLC) based MPPT method for the PV system under constant and varying climatic conditions. FLC-based MPPT is able to differ the PV operating voltage and seek for the maximum power that the PV panel can produce. The performance of fuzzy logic with various membership function (MF) is analyzed to optimize the MPPT. Simulation results demonstrate that the recital of FLC-based MPPT is better than unadventurous perturb and observe (P&O) MPPT

Photovoltaic system; Boost converter; Fuzzy logic controller Perturb & Observe Method.

"Evaluation of P &O Method and FLC Method Based Maximum Power Point Tracking for PV System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.256-260, May-2019, Available :http://www.jetir.org/papers/JETIRBV06055.pdf

"Evaluation of P &O Method and FLC Method Based Maximum Power Point Tracking for PV System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp256-260, May-2019, Available at : http://www.jetir.org/papers/JETIRBV06055.pdf