Extraction of Solar Module Parameters Using Jaya Optimization Algorithm

P. Anandhraj; K. Mohana Sundaram; P. Sanjeevikumar; Jens Bo Holm-Nielsen

doi:10.1007/978-981-15-4246-6_7

Extraction of Solar Module Parameters Using Jaya Optimization Algorithm

P. Anandhraj, K. Mohana Sundaram^*, P. Sanjeevikumar, Jens Bo Holm-Nielsen

^*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceeding › Book chapter › Research › peer-review

1 Citation (Scopus)

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’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.

Original language	English
Title of host publication	Advances in Greener Energy Technologies
Number of pages	11
Publisher	Springer
Publication date	2020
Pages	137-147
ISBN (Print)	978-981-15-4245-9
ISBN (Electronic)	978-981-15-4246-6
DOIs	https://doi.org/10.1007/978-981-15-4246-6_7
Publication status	Published - 2020

Series	Green Energy and Technology
ISSN	1865-3529

Bibliographical 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:
© 2020, Springer Nature Singapore Pte Ltd.

Keywords

Convergence curve
Flower pollination algorithm (FPA)
Irradiance
Jaya algorithm
Optimization
Photovoltaic (PV)

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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.",

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N1 - 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: © 2020, Springer Nature Singapore Pte Ltd.

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AB - 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’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.

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Extraction of Solar Module Parameters Using Jaya Optimization Algorithm

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