@inbook{103750bfdb1845edb0c1828d32cbbefb,
title = "Extraction of Solar Module Parameters Using Jaya Optimization Algorithm",
abstract = "The electricity gained from photovoltaic array increased the attention of researchers due to its diminishing cost over the years, moreover environment-friendly nature and renewability. Prior to the installation part of the solar module, precise modeling is required for investigation. However, precise modeling is a tedious task since certain parameters are not mentioned in the manufacturer{\textquoteright}s datasheets. In this article, a method based on Jaya algorithm is projected and implemented numerically in MATLAB software to find the unknown parameters in 250 Wp SVL0250P photovoltaic module nonlinear equations by varying the curve at different environmental conditions. Also, the comparative study is done between proposed and flower pollination algorithm and find the best optimization technique based on the speed of convergence and accuracy. The proposed Jaya algorithm has attained the fitness function within 30 iterations.",
keywords = "Convergence curve, Flower pollination algorithm (FPA), Irradiance, Jaya algorithm, Optimization, Photovoltaic (PV)",
author = "P. Anandhraj and {Mohana Sundaram}, K. and P. Sanjeevikumar and Holm-Nielsen, {Jens Bo}",
note = "Funding Information: Acknowledgements The DST-TSDP (No.DST/TSG/WM/2015/557/G) Government of India has supported financially to carry out this research work. Publisher Copyright: {\textcopyright} 2020, Springer Nature Singapore Pte Ltd. ",
year = "2020",
doi = "10.1007/978-981-15-4246-6_7",
language = "English",
isbn = "978-981-15-4245-9",
series = "Green Energy and Technology",
publisher = "Springer",
pages = "137--147",
booktitle = "Advances in Greener Energy Technologies",
address = "Germany",
}