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 …
A new hybrid multi-population GTO-BWO approach for parameter estimation of photovoltaic cells and modules
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 …
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 …
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 …
photovoltaic modules by acquiring essential model parameters through experimental data …
An efficient data sheet based parameter estimation technique of solar PV
This work develops an efficient parameter estimation technique, based on manufacturer
datasheet, to obtain unknown parameter of solar photovoltaic (PV), precisely. Firstly, a …
datasheet, to obtain unknown parameter of solar photovoltaic (PV), precisely. Firstly, a …
Improving photovoltaic cell parameter calculations through a puffer fish inspired optimization technique
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 …
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 …
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
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 …
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 …
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 …
these types of renewable energy. According to the regulations made by the utilities in each …