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

被引:0
|
作者
Reddy B.R.S. [1 ]
Reddy V.C.V. [2 ]
Kumar M.V. [1 ]
机构
[1] Department of EEE, J N T University, Andhra Pradesh, Ananthapuramu
[2] School of Engineering and Technology, SPMVV, Andhra Pradesh, Tirupati
关键词
conventional boost converter; high step-up hybrid DC-DC converter; Hybrid PV-PEMFC system; MPPT; PEMFC; PV system; radial basis function network;
D O I
10.13052/dgaej2156-3306.38410
中图分类号
学科分类号
摘要
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. © 2023 River Publishers.
引用
收藏
页码:1307 / 1330
页数:23
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