Design and Analysis of DC-DC Converters with Artificial Intelligence Based MPPT Approaches for Grid Tied Hybrid PV-PEMFC System

Abstract

Renewable energy sources (RES) are inherently stochastic, require the deployment of an energy storage device to round off variations in power. A hybrid system consisting solar PV and PEMFC for grid-connected applications is proposed and analysed. For grid-tied applications, a radial basis function network (RBFN) type maximum power point tracking (MPPT) approach for PEM (Proton Exchange Membrane) fuel cells and a fuzzy logic controller (FLC) type MPPT approach for Photovoltaic system respectively is developed and analysed. In addition, a high step-up hybrid boost converter (HSHBC) for fuel cells has been designed, which provides a higher voltage gain than a conventional Boost converter. Developing a fuzzy logic controller for PV system at different solar irradiation levels and a RBFN based MPPT technique for PEM Fuel Cell with different temperatures respectively to get the maximum power. The developed system is simulated using the Simulink/MATLAB platform to analyse it.