SEPIC Converter for Maximum Power Point Tracking Using Fuzzy Logic
In this paper, a fuzzy logic control (FLC) is proposed to control the maximum power point tracking (MPPT) for a photovoltaic (PV) system. The proposed technique uses the fuzzy logic control to specify the size of incremental current in the current command of MPPT. As results indicated, the convergence time of maximum power point (MPP) of the proposed algorithm is better than that of the conventional Perturb and Observation (P&O) technique. This paper DEVELOPS a fuzzy controller (FC)-based single-ended primary-inductor converter (SEPIC) for maximum power point tracking (MPPT) operation of a photovoltaic (PV) system along with battery. The FLC proposed plan utilizes the focalized circulation of the enrollment capacity. The heap is encouraged from the battery stockpiling consistently with steady voltage. The battery will be accused of the assistance of PV module and the SEPIC converter, which is controlled by FLC-based MPPT. The proposed FLC-based MPPT with battery will supply more energy to the heap than the with perturb & observe framework.
Author's Name: Ambati Bhimaraju, Sita Ram Appari and Venkata Mohan Satish Kumar Dangeti
Volume: Volume 10
Issues: Issue 16
Keywords: SEPIC Converter, Fuzzy Controller, Photovoltaic Modules and Battery.