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Journals / Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji / 2021 / Cilt: 9 - Sayı: 4

Extraction of Photovoltaic Cell and Photovoltaic Module Parameters Using African Vultures Optimization Algorithm

Afrika Akbabaları Optimizasyon Algoritması Kullanılarak Fotovoltaik Hücre ve Fotovoltaik Modül Parametrelerinin Çıkarımı

Mehmet YEŞİLBUDAK
Pages
708–725
Publication Date
2022-10-18
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

It has been shown that the African vultures optimization algorithm is a stable and reliable technique for the extraction of photovoltaic cell and module parameters.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In order to characterize the actual electrical behavior of photovoltaic cells and photovoltaic modules, it is required to construct the equivalent circuit models effectively, and to identify the unknown model parameters properly.
📊
Key Findings & Data:This improves the design, control and performance of photovoltaic systems.
💡
Conclusion & Impact:It has been shown that the African vultures optimization algorithm is a stable and reliable technique for the extraction of photovoltaic cell and module parameters.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Fotovoltaik hücre · Fotovoltaik modül · Metasezgisel optimizasyon

Abstract

In order to characterize the actual electrical behavior of photovoltaic cells and photovoltaic modules, it is required to construct the equivalent circuit models effectively, and to identify the unknown model parameters properly. This improves the design, control and performance of photovoltaic systems. In this study, African vultures optimization was applied to solve the parameter extraction problem encountered in single diode- and double diode-based photovoltaic cell modeling and single diode-based photovoltaic module modeling. African vultures optimization algorithm efficiently balances the optimization process by using two different strategies in the exploration phase and four different strategies in the exploitation phase. The root mean squared error between simulated and measured output current was computed to evaluate the parameter extraction performance. In addition, the obtained results were compared with different parameter extraction methods commonly-used in the literature. It has been shown that the African vultures optimization algorithm is a stable and reliable technique for the extraction of photovoltaic cell and module parameters.

Özet

Fotovoltaik hücrelerin ve fotovoltaik modüllerin gerçek elektriksel davranışlarını karakterize etmek için eşdeğer devre modellerinin etkin bir şekilde oluşturulması ve bilinmeyen model parametrelerinin doğru bir şekilde tanımlanması gerekir. Bu sayede, fotovoltaik sistemlerin tasarımı, kontrolü ve performansı iyileştirilir. Bu çalışmada, tek diyot ve çift diyot tabanlı fotovoltaik hücre modellemeleri ile tek diyot tabanlı fotovoltaik modül modellemesinde karşılaşılan parametre çıkarım problemini çözmek için Afrika akbabaları optimizasyonu uygulanmıştır. Afrika akbabaları optimizasyon algoritması keşif aşamasında iki farklı strateji ve sömürü aşamasında dört farklı strateji kullanarak optimizasyon sürecini verimli bir şekilde dengeler. Parametre çıkarım performansını değerlendirmek için simüle edilmiş ve ölçülen çıkış akımları arasındaki karekök ortalama hata hesaplanmıştır. Ayrıca, elde edilen sonuçlar literatürde yaygın olarak kullanılan farklı parametre çıkarım metotlarıyla karşılaştırılmıştır. Afrika akbabaları optimizasyon algoritmasının fotovoltaik hücre ve modül parametrelerinin çıkarımı için kararlı ve güvenilir bir teknik olduğu gösterilmiştir.

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Cite This Article

YEŞİLBUDAK, M. (2022). Extraction of Photovoltaic Cell and Photovoltaic Module Parameters Using African Vultures Optimization Algorithm. Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji, Cilt: 9 - Sayı: 4, 708–725. https://ajindex.com/articles/521878

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