Implementation of artificial neural network based control for power quality enhancement of proton exchange membrane fuel cell powered distributed generation …

SK Singh, A Agarwal - Physica Scripta, 2023 - iopscience.iop.org
In this paper, a fuel cell and battery-based distributed generation system is demonstrated. A
proton exchange membrane fuel cell is the primary power generator in this decentralized …

[PDF][PDF] Artificial neural network based DC-DC converter for grid connected transformerless PV system

J Gurram, NS Babu… - International Journal of …, 2022 - pdfs.semanticscholar.org
The transformerless photo voltaic (PV) inverter system connected to grid has created a new
trend in the energy market due to its reduced space requirement, low cost and increased …

[PDF][PDF] A generalized WECS system with single phase multilevel inverter having MPPT control with neural network

SK Singh, A Agarwal… - Journal of Engg …, 2022 - pdfs.semanticscholar.org
This paper describes the efficient MPPT tracking for variable wind speed using an artificial
neural network. The neural network has been trained using the backpropagation algorithm …

Recursive bit assignment with neural reference adaptive step (RNA) MPPT algorithm for photovoltaic system

E Hegazy, M Shokair, W Saad - Scientific Reports, 2023 - nature.com
Recent research has focused on photovoltaic (PV) systems due to their important properties.
The efficiency of the PV system can be enhanced by many Maximum Power Point Tracking …

Maximum Power Point Tracking in Solar Cells with Power Quality Preservation Based on Impedance Matching Concept for Satellite Electrical Energy Supply.

L Fu, X Fu, P Yang - Journal of New Materials for …, 2021 - search.ebscohost.com
The power generation subsystem represents one of the principal components of a space
system and is usually assembled from solar arrays and PPT topology. This paper aims to …

Optimization of photovoltaic energy harvesting using artificial neural network

MK Tan, N Lim, NI Kamaruddin, KG Lim… - … in Engineering and …, 2021 - ieeexplore.ieee.org
This paper proposes artificial neural network (ANN) based maximum power point tracking
(MPPT) controller to maximize the energy harvested by a grid-connected photovoltaic (PV) …

Maximum power point tracking for grid tied solar fed DTC controlled IM drive using artificial neural network with energy management

SS Selvan - International Journal of Environmental …, 2024 - inderscienceonline.com
In the mechanised world, carbon-less emission of energy production is vitalised. Despite
varied renewable energy sources available, solar PV seems to be an optimum choice due to …

Design & Analysis of a PV-fuel cell-based standalone DC microgrid in Tripura

A Deb, A Debnath, J Yadav… - 2021 IEEE 2nd …, 2021 - ieeexplore.ieee.org
Hybrid renewable energy systems are key alternatives in reducing fuel usage for electricity
generation, which reduces greenhouse gas emissions and leads to a clean, reliable, and …

Stand-alone Micro Grid based on Artificially Intelligent Neural Network (AI-NN)

R Jenitha, K Rajesh - EAI Endorsed Transactions on Energy …, 2023 - publications.eai.eu
INTRODUCTION: Hybrid stand-alone Small Wind Solar Energy System offers a feasible
solution in remote areas where grid connectivity is either financially or physically …

Performance Analysis Of PV Module With Hybrid MPPT And Conventional MPPT Technique

S Satpathy, K Roy - … Conference on Smart Power Control and …, 2024 - ieeexplore.ieee.org
Environmental friendly energy production has always been a matter of concern which has
gone through various researches, and among those, most of the focus has been given to the …