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@article{179325,
        author = {Kushagra Garg and Aryan Cibu and Hitesh},
        title = {PV Cell Parameters Optimization using Nature Inspired algorithm},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {6509-6514},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=179325},
        abstract = {—Photovoltaic (PV) systems are an essential 
part of renewable energy production, and their 
efficiency is highly dependent on the optimal 
configuration of various parameters such as the angle 
of inclination, material properties, and operating 
conditions like open circuit voltage(Voc),short circuit 
current(Isc),Maximum power(Pmax) . In recent years, 
nature-inspired optimization algorithms (NIOAs) have 
gained significant attention for their ability to solve 
complex, non-linear optimization problems in PV 
systems. This paper presents a comprehensive study on 
the application of nature-inspired algorithms for the 
optimization of PV cell parameters, aiming to maximize 
energy conversion efficiency while minimizing 
operational costs. Algorithms such as  Particle Swarm 
Optimization (PSO) are explored for their effectiveness 
in tuning key parameters, such as the solar cell’s 
temperature, irradiance levels, and material properties. 
The performance of these algorithms is compared in 
terms 
of 
convergence 
rate, 
accuracy, 
and 
computational efficiency. The results indicate that 
NIOAs offer a robust and adaptive approach to PV cell 
optimization, providing solutions that can significantly 
enhance the performance and reliability of PV systems 
under varying environmental conditions},
        keywords = {Particle swarm optimization (PSO), Tilt  angle, Open circuit voltage(Voc), Short circuit  current(Isc)).},
        month = {May},
        }