Enhancing frequency stability in diverse power systems with conventional and renewable energy sources based on an innovative LFC and controlled energy storage …
The rapid advancement of renewable energy sources (RESs) has led to a decrease in
system inertia and an exacerbation of the instability issue. Hence, this study puts forward an …
system inertia and an exacerbation of the instability issue. Hence, this study puts forward an …
Parameter estimation of fuel cells using a hybrid optimization algorithm
Because of the current increase in energy requirement, reduction in fossil fuels, and global
warming, as well as pollution, a suitable and promising alternative to the non-renewable …
warming, as well as pollution, a suitable and promising alternative to the non-renewable …
Advancements in Model Parameter Estimation for Proton Exchange Membrane Fuel Cells via Enhanced Artificial Hummingbird Algorithm
AM Shaheen, A Alassaf, I Alsaleh… - … Journal of Energy …, 2024 - Wiley Online Library
Fuel cells (FCs) have garnered significant attention due to their versatile applications, but
their nonlinear characteristics pose challenges in the modeling process. This research …
their nonlinear characteristics pose challenges in the modeling process. This research …
[HTML][HTML] Enhancing model characterization of PEM Fuel cells with human memory optimizer including sensitivity and uncertainty analysis
AM Shaheen, A Alassaf, I Alsaleh… - Ain Shams Engineering …, 2024 - Elsevier
This paper presents a novel attempt to identify the seven unknown proton exchange
membrane (PEM) Fuel Cells (PEMFCs)'parameters. The sum of quadratic deviations (SQD) …
membrane (PEM) Fuel Cells (PEMFCs)'parameters. The sum of quadratic deviations (SQD) …
Hydrogen storage in activated carbon for fuel cell-powered vehicles: A cost-effective and sustainable approach
All the major economies across the globe have been working towards achieving a
commercial viability of fuel cell-powered (FCV) and hybrid electric vehicles (HEV) amid …
commercial viability of fuel cell-powered (FCV) and hybrid electric vehicles (HEV) amid …
A robust multi-objective optimization algorithm for accurate parameter estimation for solar cell models
The accuracy of solar cell models is crucial for enhancing the performance of solar
photovoltaic (PV) systems. However, existing solar cell models lack precise parameters, and …
photovoltaic (PV) systems. However, existing solar cell models lack precise parameters, and …
Cost-effective one-time configuration for bridge-linked thermoelectric generator array using INFO optimizer
One of the key mechanisms of enhancing the power output of Thermoelectric Generators
(TEG) under nonuniform temperature distribution (NUTD) is to restructure their arrays to …
(TEG) under nonuniform temperature distribution (NUTD) is to restructure their arrays to …
Parametric Optimization of Proton Exchange Membrane Fuel Cell Using Chaotic Swarm Intelligence Technique
The proton exchange membrane fuel cell (PEMFC) converts chemical energy into electricity
without pollution or noise. PEMFC has a stable electrolyte, reliable, fast start‐up, and …
without pollution or noise. PEMFC has a stable electrolyte, reliable, fast start‐up, and …
A modified particle swarm optimization rat search algorithm and its engineering application
Solar energy generation requires photovoltaic (PV) systems to be optimised, regulated, and
simulated with efficiency. The performance of PV systems is greatly impacted by the …
simulated with efficiency. The performance of PV systems is greatly impacted by the …
A new voltage-power based approach for identifying the optimal parameters of PEM fuel cells
S Celikdemir - International Journal of Hydrogen Energy, 2024 - Elsevier
Abstract In recent years, Polymer Electrolyte Membrane Fuel Cells (PEMFCs) have been the
favored choice for critical applications in technology. Nevertheless, a significant challenge …
favored choice for critical applications in technology. Nevertheless, a significant challenge …