Accurate parameter identification is crucial for a precise PV cell modelling and analysis of
characteristics of PV systems, while high nonlinearity of output IV curve makes this problem …

Photovoltaic (PV) cells are widely used for their clean and sustainable advantages, forcing
researchers to accurately model their characteristics. The behavior of PV cells can be …

This study presents a novel physics-based metaheuristic algorithm called Kepler
optimization algorithm (KOA), inspired by Kepler's laws of planetary motion to predict the …

This work presents a new nature-inspired meta-heuristic algorithm named spider wasp
optimization (SWO) algorithm, which is based on replicating the hunting, nesting, and mating …

The performance evaluation of a Photovoltaic (PV) system heavily relies on accurately
estimating the parameters based on its current—voltage relationships. However, due to the …

In order to carry out the evaluation, control and maximum power point tracking on
photovoltaic (PV) systems, accurate and reliable model parameter identification of PV cell …

Parameter extraction of solar photovoltaic (PV) models is a typical complex nonlinear
multivariable strongly coupled optimization problem. In this paper, an improved whale …

Obtaining appropriate parameters of photovoltaic models based on measured current-
voltage data is crucial for the evaluation, control, and optimization of photovoltaic systems …

This article proposes an accurate and straightforward method for modeling and simulation of
photovoltaic (PV) modules. The main target is to find the nine-parameter of a three-diode …

Accurate estimation of model parameters plays a very important role in modeling solar
photovoltaic (PV) systems. In the past decade, meta-heuristic algorithms (MHAs) have been …