A novel Elite Opposition-based Jaya algorithm for parameter estimation of photovoltaic cell models

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

48 Scopus Citations
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Detail(s)

Original languageEnglish
Pages (from-to)351-356
Journal / PublicationOptik
Volume155
Online published23 Oct 2017
Publication statusPublished - Feb 2018

Abstract

Parameter estimation of photovoltaic (PV) cell models using a novel Elite Opposition-based Jaya (EO-Jaya) algorithm is studied in this letter. The EO-Jaya is a swarm intelligence algorithm without algorithm specific parameters. Compared with the generic Jaya algorithm, the Elite Opposition Learning strategy is incorporated into the solution updating phase, which increases the solution diversity. The effectiveness of the EO-Jaya algorithm is validated via estimating model parameters of a real PV cell. The computational results prove the superiority of the proposed algorithm compared to newly published estimation methods.

Research Area(s)

  • Jaya algorithm, Meta-heuristic search, Parameter estimation, Photovoltaic cell