Photovoltaic (PV) Parameter Extraction using a Hybrid Algorithm based on Spotted Hyena-Ant Lion Optimization
Loading...
Date
2023-12
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
The parameter extraction of Photovoltaic (PV) cell and module is a necessary to
simulate and evaluate the performance of the PV system. The parameter extraction is a complex
and challenging task due to its non-linear nature. Researchers are used several metaheuristic
algorithms to solve the non-linear problem of parameter extraction. However, the demand for
most accurate and reliable methods is increasing to get precise estimation of parameters. In this
paper, a novel hybrid optimization algorithm is proposed based on the Spotted-Hyena
optimization (SHO) and Ant Lion Optimization (ALO). The hybrid method is called as Spotted
Hyena – Ant Lion (SH-AL) optimization. The optimization algorithm is applied in two stages.
In stage 1, essential parameters are identified and extracted using SHO and passed to stage 2. In
stage 2, identified parameters are optimized using ALO for accurate model of PV cell. Different
type of PV cells such as thin film, mono and multi crystalline are examined under various
irradiance conditions to extract the parameters. The proposed algorithm is validated by
comparing the results with other algorithms and proposed algorithm is proved its superiority.