Design of Maximum Power Point Tracking System Based on Single Ended Primary Inductor Converter Using Fuzzy Logic Controller

Abstract

Maximum Power Point Tracking (MPPT) is a technique developed to obtain maximum power transfer on solar panels. Various MPPT methods developed can overcome various conditions that affect the power transfer ofsolar panels, such as irradiation fluctuations and an increase in the solar panels surface temperature. To handle theproblem fuzzy logic controller (FLC) is employed as the MPPT method. The input of FLC utilizes the error (E) anddelta error (ΔE) which is obtained from solar panel or photovoltaic (PV) output including voltage Vpv and active powerPpv. Then, the output of FLC is to determine the appropriate duty cycle (D) of the single-ended primary inductorconverter (SEPIC) converter. This proposed scheme is to get better performance in terms of stable voltage outputproduced by SEPIC converter. The novelty of this paper is the combination of MPPT based on FLC or MPPT FLCthat have less ripple and SEPIC that can produce stable voltage output. Hence, the ripple out the load can be reducedsignificantly by using this proposed method. From the simulation results, it is found that when irradiation conditionsand temperatures vary, MPPT FLC can change the operating point of the solar panels close to MPP to obtain maximumpower transfer. In terms of power ripple, MPPT FLC can reduce ripple (the total ripple is around 4.9 W) compared toconventional MPPT such as perturb and observer (P&O) (the total ripple is around 9.2 W). Ripple reduction occurs inboth irradiation and temperature variations