Intelligent fuzzy MPPT controller using analysis of DC to DC novel buck converter for photovoltaic energy system applications

Abstract

A maximum power point tracking (MPPT) algorithm using fuzzy controller was considered. MPPT method was implemented based on the voltage and current reference of PV value was obtained from of PV modules. Therefore, measuring both the PV module voltage and current is adequate for MPPT operation. Fuzzy controller is used to directly control the design of dc-dc new buck converter. The simulation results have been used to verify the effectiveness of the algorithm. The proposed method is produce good efficiency with low switching loss. The nonlinearity and adaptiveness of fuzzy controller provided good performance under parameter variations such as solar irradiation. Tracking of the maximum power point (MPPT) plays an important role in photovoltaic(PV) power systems because they maximize the power output from a PV system for a given set of conditions, and therefore maximize they module efficiency. This work presents a fuzzy logic controller based MPPT algorithms using design of dc to dc new buck converter for photovoltaic applications. The introduction of fuzzy controller as a solution has given very good performance and whatever the parametric variation of the system.