Metaheuristic algorithms have been successfully used to parameter identification of
photovoltaic systems. However, this still faces the following two challenges. Firstly, most of …

In the renewable energy sector, the extraction of parameters for solar photovoltaic (PV) cells
is a widely studied area of research. Parameter extraction is a non-linear complex …

Estimating the parameters of photovoltaic (PV) models accurately is vital to increase the
effectiveness of PV systems. During the past few years, many approaches have been …

Parameters identification of photovoltaic (PV) model based on measured current-voltage
characteristic curves plays an important role in the simulation and evaluation of PV systems …

This paper presents a new parameters estimation method for the single diode model and the
double diode model of photovoltaic cells. A new application of the slime mould algorithm …

To efficiently increase the conversion of solar energy into electricity, it is vitally important to
find the appropriate equivalent circuit parameters to execute the modeling, evaluation, and …

Given strong global search ability and less sensitive to initial solutions, many metaheuristic
algorithms have been successful used to extract the unknown parameters of photovoltaic …

In order to improve the optimization accuracy and reliability of photovoltaic (PV) cell and
module parameters identification, a logistic chaotic JAYA algorithm (LCJAYA) is proposed in …

In this work, cuckoo search optimization (CSO) and its variants improved CSO (ICSO) and
modified CSO (MCSO) techniques are implemented to evaluate parameters of (I) …

Given the multi-model and nonlinear characteristics of photovoltaic (PV) models, parameter
extraction presents a challenging problem. This challenge is exacerbated by the propensity …