Predator–Prey based firefly optimization for PV Module parameters extraction

K. Mohana sundaram; C.S. Boopathi; A. Pandian; Kalyan Sagar Kadali; Ravishankar Sathyamurthy; Anandhraj P.; Madhu B.

Energy Reports (Nov 2021)

Predator–Prey based firefly optimization for PV Module parameters extraction

K. Mohana sundaram,
C.S. Boopathi,
A. Pandian,
Kalyan Sagar Kadali,
Ravishankar Sathyamurthy,
Anandhraj P.,
Madhu B.

Affiliations

K. Mohana sundaram: Department of Electrical and Electronics Engineering, KPR Institute of Engineering and Technology, Arasur, Coimbatore 641 407, Tamil Nadu, India; Corresponding author.
C.S. Boopathi: Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, 603 203, India
A. Pandian: Department of Electrical and Electronics Engineering, Koneru Lakshmaiah Education Foundation, Guntur 522 502, Andhra Pradesh, India
Kalyan Sagar Kadali: Department of Electrical & Electronics Engineering, Shri Vishnu Engineering College for Women, India
Ravishankar Sathyamurthy: Department of Mechanical Engineering, KPR Institute of Engineering and Technology, Arasur, Coimbatore 641 407, Tamil Nadu, India
Anandhraj P.: Anna University, Chennai 600025, Tamil Nadu, India
Madhu B.: Department of Mechanical Engineering, Velammal Institute of Technology, Tamil Nadu 601204, India

Journal volume & issue: Vol. 7
pp. 609 – 615

Abstract

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The environmental friendly and renewability nature of PV Module has aroused the interest of researchers. The precise modelling of PV Module is mandatory before the installation part. However, the specific modelling is cumbersome as some parameters are not available in the manufacturer’s specifications. Predator–Prey based firefly optimization algorithm is proposed and implemented to optimize the unknown values in PV Module non-linear equations by changing the curve at various environmental conditions. The achievement of proposed technique is analysed with the flower pollination and Jaya algorithm based on the convergence curve.

Published in Energy Reports

ISSN: 2352-4847 (Online)
Publisher: Elsevier
Country of publisher: United Kingdom
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering
Website: http://www.journals.elsevier.com/energy-reports/

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