A multi-hybrid algorithm with shrinking population adaptation for constraint engineering design problems
A multi-hybrid algorithm is proposed in this paper based on the Kepler Optimization
algorithm (KOA), Red Panda Optimization (RPO), Meerkat Optimization (MO), and Grey Wolf …
algorithm (KOA), Red Panda Optimization (RPO), Meerkat Optimization (MO), and Grey Wolf …
An improved Kepler optimization algorithm for module parameter identification supporting PV power estimation
Identification of photovoltaic (PV) module characteristics in solar systems is a vital task,
nowadays, for optimal PV power estimation. In this paper, this challenge task has been …
nowadays, for optimal PV power estimation. In this paper, this challenge task has been …
Efficient approach for optimal parameter estimation of PV using Pelican Optimization Algorithm
A Ajay Rathod, B Subramanian - Cogent Engineering, 2024 - Taylor & Francis
In order to optimize the performance of a Solar Photovoltaic (PV) system, it is necessary to
develop an appropriate PV cell model and accurately determine the unknown parameters …
develop an appropriate PV cell model and accurately determine the unknown parameters …
Improved crayfish optimization algorithm for parameters estimation of photovoltaic models
L Chaib, M Tadj, A Choucha, FZ Khemili… - Energy Conversion and …, 2024 - Elsevier
The growing use of photovoltaic energy necessitates accurate modeling of modules,
particularly in non-linear current–voltage characteristics, despite challenges in finding ideal …
particularly in non-linear current–voltage characteristics, despite challenges in finding ideal …
[HTML][HTML] Parametric estimation of photovoltaic systems using a new multi-hybrid evolutionary algorithm
Integrating solar photovoltaic (PV) systems into the modern power grid introduces a variety
of new problems. The accurate modelling of PV is required to strengthen the system …
of new problems. The accurate modelling of PV is required to strengthen the system …
[HTML][HTML] Hybrid Brown-Bear and Hippopotamus Algorithms with Fractional Order Chaos Maps for Precise Solar PV Model Parameter Estimation
L Chaib, M Tadj, A Choucha, AM El-Rifaie… - Processes, 2024 - mdpi.com
The rise in photovoltaic (PV) energy utilization has led to increased research on its
functioning, as its accurate modeling is crucial for system simulations. However, capturing …
functioning, as its accurate modeling is crucial for system simulations. However, capturing …
[PDF][PDF] Estimation of Uncertain Parameters in Single and Double Diode Models of Photovoltaic Panels Using Frilled Lizard Optimization
Renewable energy sources are increasingly crucial for sustainable development.
Photovoltaic (PV) systems, which convert solar energy into electricity, offer an …
Photovoltaic (PV) systems, which convert solar energy into electricity, offer an …
Parameters determination of the photovoltaic cell model
Y Zhao, P Liu - Journal of Physics: Conference Series, 2024 - iopscience.iop.org
The dual diode model of photovoltaic cells has high accuracy, but there are seven
parameters to be sought. To improve the accuracy of photovoltaic cell models and facilitate …
parameters to be sought. To improve the accuracy of photovoltaic cell models and facilitate …
Cell Using Gold Rush Optimizer
R Khajuria, P Sharma, R Lamba… - Advances in Clean …, 2024 - books.google.com
In this article, a recently developed metaheuristic optimization algorithm, Gold Rush
Optimizer (GRO) is applied in extracting five parameters of solar pho-tovoltaic (PV) cells. The …
Optimizer (GRO) is applied in extracting five parameters of solar pho-tovoltaic (PV) cells. The …
Optimal Model Parameter Estimation of PEM Fuel Cell Using Mountaineering Team-Based Optimization
In this paper, a recently developed meta-heuristic (MH) algorithm, namely mountaineering
team-based optimization (MTBO) has been applied to estimate seven unknown model …
team-based optimization (MTBO) has been applied to estimate seven unknown model …