Bal Porsuğu Algoritması ve Vahşi At Optimize Edici ile Fotovoltaik Modellerin Parametre Çıkarımı

Year 2023, Volume: 26 Issue: 4, 1453 - 1465, 01.12.2023

Kezban Koç , Mehmet Demirtaş , İpek Çetinbaş

https://doi.org/10.2339/politeknik.1155696

Cited By: 1

Abstract

Fotovoltaik (FV) sistemlerin kurulum konfigürasyonunun belirlenmesinden, maksimum güç noktasında çalıştırılmasına, teknik ve ekonomik fizibilite çalışmasından üretim yapması planlanan bölgeye sağlayacağı pozitif katkısına kadar olan süreçlerin analizinin yapılması FV sistemlerin doğru ve verimli simülasyon modellerine bağlıdır. FV hücrelerin ve modüllerin detaylı modellenmesi ve bu sistemlerin davranışının taklit edilebilmesi için FV parametre çıkarımı son derece önemli olup son zamanlarda sıklıkla çalışılan bir konudur. Bu sebeple bu çalışmada, FV parametre çıkarımı konusunda çalışılmış ve bu optimizasyon problemi bal porsuğu algoritması (BPA) ve vahşi at optimize edici (VAO) ile çözülmüştür. FV hücre ve modüller tek diyotlu model (TDM) ve çift diyotlu model (ÇDM) ile modellenmiştir. Bu modellerin test edilmesinde ise gerçek ölçüm verileri kullanılmıştır. Amaç fonksiyonu olarak hata kareler ortalamasının karekökü (RMSE) seçilmiş ve sonuçlar, hesaplama doğruluğu ve zamanı açılarından değerlendirme metrikleri ile karşılaştırılmıştır. Dört FV modelin sonuçlarına göre; BPA 9,9318E-04 ile 1,7011E-03 aralığında ve VAO ise 9,8602E-04 ile 1,7298E-03 aralığında RMSE değerleri hesaplanmıştır. Sonuç olarak her iki algoritma da PV parametre çıkarımında başarılı, kararlı ve hızlı sonuçlar vermesine rağmen VAO daha iyi sonuçlar vermiştir. 

Keywords

Çift diyotlu FV model, bal porsuğu algoritması, FV parametre çıkarımı, tek diyotlu FV model, vahşi at optimize edici

Parameter Extraction of Photovoltaic Models by Honey Badger algorithm and Wild Horse Optimizer

Abstract

Analyzing the processes ranging from the determination of the installation configuration of the photovoltaic (PV) systems to the operation at the maximum power, from the technical and economic feasibility study to the positive contribution to the region where the production is planned are just possible with the accurate and efficient simulation models of the PV systems. PV parameter extraction, which is a topic frequently discussed recently, is crucial for the detailed modeling of PV cells and modules and simulating the behavior of these systems. For this reason, the current study examined PV parameter extraction and solved this optimization problem with the honey badger algorithm (HBA) and wild horse optimizer (WHO). PV cells and modules were modeled with the single diode model (SDM) and double diode model (DDM) and tested with actual measurement data. The root-mean-square error (RMSE) was chosen as the objective function, and the results were compared with the evaluation metrics for computational accuracy and time. Based on four PV model results, RMSE values were calculated between 9.9318E-04 to 1.7011E-03 for HBA and between 9.8602E-04 and 1.7298E-03 for WHO. As a result, even though both algorithms produce successful, stable, and fast results in PV parameter extraction, the WHO yielded better results. 

Keywords

Double diode PV model, honey badger algorithm, PV parameter extraction, single diode model, wild horse optimizer

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