Residential grid connected solar inverter using fuzzy logic DC-DC Converter

Abstract

This paper presents a residential solar grid connected inverter with analysis of DC-DC converter based on fuzzy logic. The performance of the fuzzy logic algorithm is simulated in Matlab. The fuzzy logic algorithm used in this paper avoids the problem of ongoing tracking oscillations encountered with other types of popular Maximum Power Point Tracking (MPPT) techniques like P&O (Perturb and Observe), Hill-climbing and incremental conductance method. Maximum Power Point Tracking is a method of delivering maximum power from solar panels to the grid by commonly known method as impedance matching. The simulation shows that for arbitrary points of irradiance and temperature the absolute tracking error is less than or equal to 1.4%. The proposed fuzzy logic MPPT only computes duty cycle above 500 W/m2; which is not critical for a solar generation as the proposed algorithm functions well in daylight conditions.