The global shift toward solar energy has resulted in the advancement of research into the
manufacture of high-performance solar cells. It is critical to accurately model and identify the …

Accurate parameter estimation is crucial and challenging for the design and modeling of PV
cells/modules. However, the high degree of non-linearity of the typical I–V characteristic …

Partial shading condition (PSC) causes underperformance, unreliability, and fire risks in
photovoltaic (PV) systems. Accurate estimation of PV behaviors is crucial to fundamental …

A generalised explicit model is proposed in this study to model the S-shaped and standard
voltage-current characteristics (VI) of illuminated solar cells. Even though the voltage-current …

Under partial shading conditions (PSCs), photovoltaic (PV) generation systems exhibit
multiple local and a single global maximum power point. Consequently, global maximum …

In this paper a heuristic algorithm called flexible improved particle swarm optimization
(FIPSO) and a gradient based algorithm called sequential quadratic programming (SQP) are …

This paper presents a comparative analysis of bioinspired algorithms employed on a PV
system subject to standard conditions, under step‐change of irradiance conditions, and a …

Optimizing the output power of photovoltaic (PV) systems requires quantitative information
on the global maximum power point (GMPP). The conventional maximum power point …

The performance of photovoltaic (PV) systems is influenced by various factors, including
atmospheric conditions, geographical locations, and spatial and temporal characteristics …

The prediction of bifacial photovoltaic (bPV) system performance under variable conditions
has persistently challenged researchers and practitioners alike, largely due to the unstable …