Comparison of MPPT Fuzzy Logic Controller Based on Perturb and Observe (P&O) and Incremental Conductance (InC) Algorithm On Buck-Boost Converter

Abstract

The electrical energy produced by photovoltaic (PV) is very dependent on weather conditions and the amount of solar irradiation received. Maximum power point tracking (MPPT) Fuzzy logic controller is used to increase the power generated by PV. In this study, comparing the performance of fuzzy logic controllers with two types of algorithms, namely, Perturb and Observe (P&O) and Incremental Conductance (InC). The research was carried out with simulations using Simulink Matlab and fuzzy logic control. The Buck-boost converter is used to control the power flow from the PV panel to the load. Maximum power is obtained by setting the value of the duty ratio of the buck-boost converter. Based on the simulation results of the two algorithms, the Incremental Conductance algorithm is able to track the maximum power of the module better and faster. With the maximum power of the module of 50.3 W and the output power that can be channeled at 47.25 W. The Perturb and Observe algorithm is able to reach the maximum power of the module of 50.18 W and the output power of 47.13 W.