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
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 …
A hybrid Prairie INFO fission naked algorithm with stagnation mechanism for the parametric estimation of solar photovoltaic systems
This paper presents a study to enhance the performance of a recently introduced naked
mole-rat algorithm (NMRA), by local optima avoidance, and better exploration as well as …
mole-rat algorithm (NMRA), by local optima avoidance, and better exploration as well as …
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] Accurate parameters extraction of photovoltaic models using Lambert W-function collaborated with AI-based Puma optimization method
As the global demand for renewable energy sources increases, reliable and efficient
photovoltaic (PV) systems are positioning themselves as one of the most promising …
photovoltaic (PV) systems are positioning themselves as one of the most promising …
[HTML][HTML] Multijunction Solar Cell Parameter Estimation based on Metaheuristic Algorithms
Parameter estimation in MJSC achieved accurate energy output modeling under diverse
environmental conditions. This issue maximizes energy yield and facilitates early fault …
environmental conditions. This issue maximizes energy yield and facilitates early fault …
[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
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 …