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Backtracking Search Algorithm for PV Module Electrical Parameter Estimation

Authors :
Fahad Saleh Al-Ismail
Md. Ershadul Haque
Shafiullah
Amjad Ali
Md. Shafiul Alam
Asif Islam
Syed Masiur Rahman
Source :
2021 1st International Conference on Artificial Intelligence and Data Analytics (CAIDA).
Publication Year :
2021
Publisher :
IEEE, 2021.

Abstract

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.

Details

Database :
OpenAIRE
Journal :
2021 1st International Conference on Artificial Intelligence and Data Analytics (CAIDA)
Accession number :
edsair.doi...........234ba132a985d5a46846814c5d10d420
Full Text :
https://doi.org/10.1109/caida51941.2021.9425196