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 …

Sun is considered as an important source of energy, and nowadays it is studied by
researches from different areas. The current technologies are not able to convert solar …

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 …

This paper proposes an improved version of the grasshopper optimization algorithm (GOA)
based on the opposition-based learning (OBL) strategy called OBLGOA for solving …

Solar cells are considered as a clean source of energy, and their application includes
industrial and domestic users. Most of the algorithms used to design solar cells are tested …

Improving the performance of solar photovoltaic systems is reliant on accurately modeling
the cells parameters. However, the identification of the lumped element model parameters …

Today, photovoltaic (PV) systems are generating a significant share of electric power.
Parameter estimation of photovoltaic cells and modules is a hot research topic and plays an …

Parameters for defining photovoltaic models using measured voltage–current​
characteristics are essential for simulation, control, and evaluation of photovoltaic-based …

Accurate estimation the electrical equivalent circuit parameters of photovoltaic arrays of
solar cells is needed to enhance the performance of solar energy systems. Thus this field …

In this paper, a recent optimization algorithm called Equilibrium Optimizer (EO) is first
improved using a linear reduction diversity technique (LRD) and local minima elimination …