2016•Unpublished venueRequires access

Fuzzy logic controller based maximum power point tracking for PV system

S. Narendiran, Sarat Kumar Sahoo, Raja Das, Ashwin Kumar Sahoo

Abstract

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.

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Key concepts: Maximum power point tracking, Photovoltaic system, Maximum power principle, Control theory (sociology), Fuzzy logic, Computer science, Controller (irrigation), Power (physics)