[HTML][HTML] Design and performance analysis of hybrid MPPT controllers for fuel cell fed DC-DC converter systems

S Rafikiran, G Devadasu, CHH Basha, PM Tom… - Energy Reports, 2023 - Elsevier
Fuel cell-based power generation is the most utilized renewable energy source in the
automotive industry because of its features clean energy, and less environmental pollution …

A Novel Hybrid MPPT Controller for PEMFC Fed High Step‐Up Single Switch DC‐DC Converter

S Rafikiran, CHH Basha… - … transactions on electrical …, 2024 - Wiley Online Library
At present, there are different types of Renewable Energy Resources (RESs) available in
nature which are wind, tidal, fuel cell, and solar. The wind, tidal, and solar power systems …

Artificial deep neural network in hybrid PV system for controlling the power management

S Sahoo, TM Amirthalakshmi, S Ramesh… - International Journal …, 2022 - Wiley Online Library
The analysis of different components of a grid‐linked hybrid energy system (HES)
comprising a photovoltaic (PV) system is presented in this work. Due to the increase of the …

HVDC fault detection and classification with artificial neural network based on ACO-DWT method

RS Jawad, H Abid - Energies, 2023 - mdpi.com
Unlike the more prevalent alternating current transmission systems, the high voltage direct
current (HVDC) electric power transmission system transmits electric power using direct …

Design and implementation of hybrid MPPT controller for FC based EV system with boost DC-DC converter

S Rafikiran, G Devadasu, P Rajendhar… - Journal of Intelligent …, 2023 - content.iospress.com
The fuel cell-dependent electric vehicle systems are giving an important role in the present
automotive systems because their features are less air pollution, high flexibility, reduced oil …

Techno-economic feasibility analysis of 100 MW solar photovoltaic power plant in Pakistan

N Abas, S Rauf, MS Saleem, M Irfan… - … and Economics of Smart …, 2022 - Springer
In this era of adaptation of renewable energy resources at huge level, Pakistan still depends
upon the fossil fuels to generate electricity which are harmful for the environment and …

Artificial neural network grid-connected MPPT-based techniques for hybrid PV-WIND with battery energy storage system

S Sharma, BK Chauhan, NK Saxena - … of The Institution of Engineers (India …, 2023 - Springer
A hybrid photovoltaic–wind–battery–microgrid system is designed and implemented based
on an artificial neural network with maximum power point tracking. The proposed method …

[HTML][HTML] A novel artificial intelligence maximum power point tracking technique for integrated PV-WT-FC frameworks

MJ Khan, D Kumar, Y Narayan, H Malik… - Energies, 2022 - mdpi.com
The development of each country depends on electricity. In this regard, conventional energy
sources, eg, diesel, petrol, etc., are decaying. Consequently, the investigations of renewable …

Enhancing Fault Detection and Classification in MMC‐HVDC Systems: Integrating Harris Hawks Optimization Algorithm with Machine Learning Methods

O Hazim Hameed Hameed, U Kutbay… - … on Electrical Energy …, 2024 - Wiley Online Library
Accurate fault detection in high‐voltage direct current (HVDC) transmission lines plays a
pivotal role in enhancing operational efficiency, reducing costs, and ensuring grid reliability …

Energy audit and feasibility of solar PV energy system: Case of a commercial building

SW Chisale, P Mangani - Journal of Energy, 2021 - Wiley Online Library
Energy situation in Malawi is continuing facing critical challenges to satisfy the existing
demand. However, energy consumption and energy conservation studies have been …