Parameter estimation of fuel cells using a hybrid optimization algorithm

MK Singla, J Gupta, B Singh, P Nijhawan… - Sustainability, 2023 - mdpi.com
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 …

A new hybrid multi-population GTO-BWO approach for parameter estimation of photovoltaic cells and modules

HH Ali, M Ebeed, A Fathy, F Jurado, TS Babu… - Sustainability, 2023 - mdpi.com
Modeling the photovoltaic (PV) generating unit is one of the most important and crucial tasks
when assessing the accurate performance of the PV system in power systems. The …

Parameter identification of solar photovoltaic systems using an augmented subtraction-average-based optimizer

G Moustafa - Eng, 2023 - mdpi.com
Solar photovoltaic system parameter identification is crucial for effective performance
management, design, and modeling of solar panel systems. This work presents the …

Electrical parameters identification for three diode photovoltaic based on the manta ray foraging optimization with dynamic fitness distance balance

M El Marghichi, S Dangoury - Optik, 2024 - Elsevier
This study focuses on the critical task of accurately simulating and operating solar cells and
photovoltaic modules by acquiring essential model parameters through experimental data …

An efficient data sheet based parameter estimation technique of solar PV

KM Charu, P Thakur, N Rawat, F Ansari, S Gupta… - Scientific Reports, 2024 - nature.com
This work develops an efficient parameter estimation technique, based on manufacturer
datasheet, to obtain unknown parameter of solar photovoltaic (PV), precisely. Firstly, a …

Improving photovoltaic cell parameter calculations through a puffer fish inspired optimization technique

MK Singla, J Gupta, N Parag, T Ekta, TG Tella… - Heliyon, 2024 - cell.com
The precise estimation of solar PV cell parameters has become increasingly important as
solar energy deployment expands. Due to the intricate and nonlinear characteristics of solar …

An Interpretable Digital Twin for Self-Aware Industrial Machines

JL Vilar-Dias, ASS Junior, FB Lima-Neto - Sensors, 2023 - mdpi.com
This paper presents a proposed three-step methodology designed to enhance the
performance and efficiency of industrial systems by integrating Digital Twins with particle …

A robust multi-objective optimization algorithm for accurate parameter estimation for solar cell models

MK Singla, J Gupta, MH Alsharif, MK Kim, M Aljaidi… - Soft Computing, 2024 - Springer
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 …

Load Margin Assessment of Power Systems Using Physics-Informed Neural Network with Optimized Parameters

MEC Bento - Energies, 2024 - mdpi.com
Challenges in the operation of power systems arise from several factors such as the
interconnection of large power systems, integration of new energy sources and the increase …

Optimal Modeling for Dynamic Response of Energy Storage Systems

CC Lee, YM Hsin, SC Dai, CC Kuo - Applied Sciences, 2023 - mdpi.com
Using energy storage systems with solar and wind energy can overcome the intermittence of
these types of renewable energy. According to the regulations made by the utilities in each …