Estimation and Analysis of the Characteristic Parameters of Photovoltaic Cells by Mayfly Algorithm

Year 2022, Issue: 33, 223 - 235, 31.01.2022

Burak Arıkan , Serdar Koçkanat

https://doi.org/10.31590/ejosat.1039719

Abstract

In recent years, renewable energy sources such as solar energy have been increasing their importance in energy production day by day. Various studies have been carried out in the literature for the effective performance and control of solar cells that generate energy from the sun. Various solar cell models, such as single diode and double diode models, have been developed to improve performance and control. However, the main problem in these studies is the estimation of characteristic parameters accurately and efficiently. In the last decade, this problem has been tried to be solved by using metaheuristic algorithms in the literature. In this study, for the first time, the Mayfly algorithm (MA) is used for characteristic parameter estimation of photovoltaic models. In order to analyze the estimation performance of the proposed approach, frequently used solar cells and diode models are examined. The results were compared with literature studies. Current-voltage and Power-voltage graphs used to find the maximum point were created using the estimated parameters. The results obtained and the graphs drawn show that the proposed approach is correct and effective in parameter estimation of photovoltaic cells.

Keywords

Mayfly Algorithm, Photovoltaic, Parameter Estimation, Optimization

Fotovoltaik Hücrelerin Karakteristik Parametrelerinin Mayıs Sineği Algoritması ile Kestirimi ve İncelemesi

Abstract

Son yıllarda Güneş enerjisi gibi yenilenebilir enerji kaynakları enerji üretimindeki önemini gün geçtikçe artırmaktadır. Literatürde güneşten enerji üreten güneş pillerinin etkin performansı ve kontrolü için çeşitli çalışmalar yapılmaktadır. Tek diyot ve çift diyot modelleri gibi çeşitli güneş pili modelleri performansı ve kontrolü artırmak için geliştirilmiştir. Ancak bu çalışmalarda asıl problem doğru ve verimli bir şekilde karakteristik parametrelerin kestirimidir. Son on yılda literatürde metasezgisel algoritmalar kullanılarak bu problem çözülmeye çalışılmıştır. Bu çalışmada, ilk kez, Mayıs sineği algoritması (MA) fotovoltaik modellerin karakteristik parametre kestirimi için kullanılmıştır. Önerilen yaklaşımın kestirim performansını analiz etmek amacıyla sık kullanılan güneş pilleri ve diyot modelleri incelenmiştir. Sonuçlar literatür çalışmaları ile karşılaştırılmıştır. Maksimum noktanın bulunmasında kullanılan Akım-gerilim ve Güç-gerilim grafikleri kestirilen parametreler kullanılarak oluşturulmuştur. Elde edilen sonuçlar ve çizilen grafikler, fotovoltaik hücrelerin parametre kestiriminde önerilen yaklaşımın doğru ve etkili olduğunu göstermektedir.

Keywords

Mayıs Sineği Algoritması, Parametre Kestirimi, Fotovoltaik, Optimizasyon.

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