Parameter extraction of floating solar PV system with war strategy optimization for sustainable cleaner generation

FSPV (Floating Solar Photovoltaic) is an emerging type of solar energy that aims to help the environment. Since the technology is new, it is not easy to examine the long-term performance, effective control, and feasibility studies of FSPV facilities. The calculation of FSPV panel parameters is crucial in evaluating the actual performance, long-term operation, feasibility, and carbon-saving capacity of FSPV systems. The algorithm of war strategy optimization is used for the parameter estimation of the single-diode model of FSPV. Furthermore, FSPV decreases the environmental impacts of land-based PV (LBPV) plants, such as deforestation for land clearance to install panels. The WSO method outperforms war gradient-based optimization (GBO) and Harris Hawks Optimization (HHO) regarding effectiveness and accuracy. The WSO method is more effective and accurate than gradient-based optimization (GBO) and Harris Hawks optimization (HHO), with a standard deviation of 3.74387E–17 and a mean of 7.72985E–04.