Predator–Prey based firefly optimization for PV Module parameters extraction

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

doi:10.1016/j.egyr.2021.07.121

Predator–Prey based firefly optimization for PV Module parameters extraction

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

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

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.

Original language	English
Pages (from-to)	609-615
Number of pages	7
Journal	Energy Reports
Volume	7
DOIs	https://doi.org/10.1016/j.egyr.2021.07.121
State	Published - Nov 2021
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2021 The Authors

Keywords

Flower pollination algorithm (FPA)
Jaya algorithm
Photo-voltaic (PV)
Predator–Prey based firefly optimization (PPFO) algorithm

ASJC Scopus subject areas

General Energy

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10.1016/j.egyr.2021.07.121

Cite this

@article{4c7a4812f98b4abf860ce11bbf6cef2e,

title = "Predator–Prey based firefly optimization for PV Module parameters extraction",

abstract = "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.",

keywords = "Flower pollination algorithm (FPA), Jaya algorithm, Photo-voltaic (PV), Predator–Prey based firefly optimization (PPFO) algorithm",

author = "\{Mohana sundaram\}, K. and Boopathi, \{C. S.\} and A. Pandian and Kadali, \{Kalyan Sagar\} and Ravishankar Sathyamurthy and P. Anandhraj and B. Madhu",

note = "Publisher Copyright: {\textcopyright} 2021 The Authors",

year = "2021",

month = nov,

doi = "10.1016/j.egyr.2021.07.121",

language = "English",

volume = "7",

pages = "609--615",

journal = "Energy Reports",

issn = "2352-4847",

publisher = "Elsevier Ltd.",

}

TY - JOUR

T1 - Predator–Prey based firefly optimization for PV Module parameters extraction

AU - Mohana sundaram, K.

AU - Boopathi, C. S.

AU - Pandian, A.

AU - Kadali, Kalyan Sagar

AU - Sathyamurthy, Ravishankar

AU - Anandhraj, P.

AU - Madhu, B.

PY - 2021/11

Y1 - 2021/11

N2 - 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.

AB - 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.

KW - Flower pollination algorithm (FPA)

KW - Jaya algorithm

KW - Photo-voltaic (PV)

KW - Predator–Prey based firefly optimization (PPFO) algorithm

UR - https://www.scopus.com/pages/publications/85119924344

U2 - 10.1016/j.egyr.2021.07.121

DO - 10.1016/j.egyr.2021.07.121

M3 - Article

AN - SCOPUS:85119924344

SN - 2352-4847

VL - 7

SP - 609

EP - 615

JO - Energy Reports

JF - Energy Reports

ER -

Predator–Prey based firefly optimization for PV Module parameters extraction

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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