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

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 …

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

Accurate and robust parameter identification method is helpful to the imitation, control and
optimization of photovoltaic (PV) system. Therefore, it is necessary to create some more …

As a renewable energy resource, solar photovoltaics (PV's) possess a promising future.
Thus, it is important to simulate, evaluate and control the PV systems. To identify the …

The use of solar photovoltaic systems (PVs) is increasing as a clean and affordable source
of electric energy. The Pv cell is the main component of the PV system. To improve the …

Identifying parameters in photovoltaic (PV) cell and module models is one of the primary
challenges of the simulation and design of photovoltaic systems. Metaheuristic algorithms …

As the demand for solar energy increases dramatically, the optimization and control of
photovoltaic systems become increasingly important, accurate and reliable parameter …

In order to simulate, control and optimize photovoltaic (PV) systems, how to accurately
identify the unknown parameters of PV models is a major challenge. To overcome this …

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 …