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I-CPA: An Improved Carnivorous Plant Algorithm for Solar Photovoltaic Parameter Identification Problem.

I-CPA: An Improved Carnivorous Plant Algorithm for Solar Photovoltaic Parameter Identification Problem.

Authors :
Beşkirli, Ayşe
Dağ, İdiris
Source :
Biomimetics (2313-7673). Dec2023, Vol. 8 Issue 8, p569. 30p.
Publication Year :
2023

Abstract

The carnivorous plant algorithm (CPA), which was recently proposed for solving optimization problems, is a population-based optimization algorithm inspired by plants. In this study, the exploitation phase of the CPA was improved with the teaching factor strategy in order to achieve a balance between the exploration and exploitation capabilities of CPA, minimize getting stuck in local minima, and produce more stable results. The improved CPA is called the I-CPA. To test the performance of the proposed I-CPA, it was applied to CEC2017 functions. In addition, the proposed I-CPA was applied to the problem of identifying the optimum parameter values of various solar photovoltaic modules, which is one of the real-world optimization problems. According to the experimental results, the best value of the root mean square error (RMSE) ratio between the standard data and simulation data was obtained with the I-CPA method. The Friedman mean rank statistical analyses were also performed for both problems. As a result of the analyses, it was observed that the I-CPA produced statistically significant results compared to some classical and modern metaheuristics. Thus, it can be said that the proposed I-CPA achieves successful and competitive results in identifying the parameters of solar photovoltaic modules. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
23137673
Volume :
8
Issue :
8
Database :
Academic Search Index
Journal :
Biomimetics (2313-7673)
Publication Type :
Academic Journal
Accession number :
174400712
Full Text :
https://doi.org/10.3390/biomimetics8080569