Design and experimental validation of an artificial neural network-SVPWM controller for a novel micro grid-tied fuel cell-based 3-phase boost inverter-Reference-Cited by-同舟云学术

Design and experimental validation of an artificial neural network-SVPWM controller for a novel micro grid-tied fuel cell-based 3-phase boost inverter

Published:2024-01 Issue: Volume:52 Page:1247-1265
ISSN:0360-3199
Container-title:International Journal of Hydrogen Energy
language:en
Short-container-title:International Journal of Hydrogen Energy

Author:

Baltacı Kübra,Ertekin Davut^ORCID,Bayrak Gökay

Funder

Türkiye Bilimsel ve Teknolojik Araştırma Kurumu

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Condensed Matter Physics,Fuel Technology,Renewable Energy, Sustainability and the Environment

Reference57 articles.

1. A flexible perturb & observe MPPT method to prevent surplus energy for grid-failure conditions of fuel cells;İnci;Int J Hydrogen Energy,2021

2. Laveet Kumar, Müslüm Arıcı, Comparative techno economic analysis of various stand-alone and grid connected (solar/wind/fuel cell) renewable energy systems;Manoo;Int J Hydrogen Energy,2023

3. Design and assessment of a solar energy based integrated system with hydrogen production and storage for sustainable buildings;Temiz;Int J Hydrogen Energy,2023

4. LCL filter design and robust converter side current feedback control for grid-connected Proton Exchange Membrane Fuel Cell system;Rasekh;Int J Hydrogen Energy,2020

5. Economical planning of fuel cell vehicle-to-grid integrated green buildings with a new hybrid optimization algorithm;Li;Int J Hydrogen Energy,2022

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