Backtracking Search Algorithm for PV Module Electrical Parameter Estimation

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations


The equivalent electric circuit models reflect the electrical characteristics of the photovoltaic (PV) modules. Estimation of PV module parameters is considered as one of the challenging tasks while evaluating the performance. This article presents a new and useful approach to estimate the five-parameter PV module electrical circuit model. It translates the PV module parameter estimation process into an optimization problem using the information provided by the manufacturer on the rear side of the PV modules. It then employs an efficient metaheuristic technique, namely the backtracking search algorithm, to solve the developed optimization problem. The efficacy of the proposed approach is investigated by predicting the parameters of three PV module technologies: monocrystalline, poly-crystalline, and thin film. Finally, to check the feasibility of the proposed technique, this paper compares the approximate parameters of modeled I-V curves with experimental curves. The findings confirm the reliability of the estimated model parameters in simulating the near realistic characteristics of the PV modules.

Original languageEnglish
Title of host publication2021 1st International Conference on Artificial Intelligence and Data Analytics, CAIDA 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9780738131771
StatePublished - 6 Apr 2021

Publication series

Name2021 1st International Conference on Artificial Intelligence and Data Analytics, CAIDA 2021

Bibliographical note

Publisher Copyright:
© 2021 IEEE.


  • Backtracking search algorithm
  • Electrical parameters
  • PV module
  • Parameter estimation

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Information Systems and Management


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