Performance comparison of maximum power point tracking algorithms under partial shading conditions in photovoltaic systems

Öz

In this study, the effects of multiple peak points arising from partial shading on the maximum power point tracking performance of photovoltaic systems were investigated. For this purpose, a photovoltaic system model configured with a 1200 W boost-type DC-DC converter was developed. Under different irradiance conditions, the performance of four tracking algorithms—perturb-and-observe, fuzzy logic-based perturb-and-observe, incremental conductance, and particle swarm optimization—was evaluated. The simulation studies of the model were carried out in the MATLAB/Simulink environment. Scenarios representing standard operating conditions, fixed unbalanced shading conditions, and dynamic shading conditions were examined separately under identical operating conditions. The analysis results showed that the fuzzy logic-based perturb-and-observe algorithm reached steady-state operation within 0.2 s, whereas the particle swarm optimization algorithm achieved a tracking efficiency of 99.96% relative to the theoretical maximum power point attainable by the system. The findings indicate that the particle swarm optimization algorithm is more successful in terms of global maximum tracking accuracy, while the fuzzy logic-based perturb-and-observe algorithm provides faster transient-state performance.

Anahtar Kelimeler

• Photovoltaic system
• Maximum power point tracking
• Partial shading
• Optimization

Fotovoltaik sistemlerde kısmi gölgelenme koşullarında maksimum güç noktası takibi algoritmalarının performans karşılaştırması

Öz

Bu çalışmada, fotovoltaik sistemlerde kısmi gölgelenme koşullarının neden olduğu çoklu tepe noktalarının maksimum güç noktasının izlenme performansı üzerindeki etkileri incelenmiştir. Bu amaçla, 1200 W gücünde yükselten tip DC-DC dönüştürücü ile yapılandırılmış bir fotovoltaik sistem modeli oluşturulmuştur. Farklı ışınım senaryoları altında; değiştir ve gözle, bulanık mantık tabanlı değiştir ve gözle, artan iletkenlik ve parçacık sürü optimizasyonu olmak üzere dört farklı izleme algoritmasının performansı değerlendirilmiştir. Modelin benzetim çalışmaları, MATLAB/Simulink ortamında gerçekleştirilmiştir. Standart çalışma koşulu ile sabit dengesiz ve dinamik gölgelenme durumlarını temsil eden senaryolar, aynı çalışma şartlarında ayrı ayrı ele alınmıştır. Analizler sonucunda, bulanık mantık tabanlı değiştir ve gözle algoritmasının 0.2 s gibi kısa sürede kararlı rejime ulaştığı, parçacık sürü optimizasyonu algoritmasının ise sistemin teorik olarak ulaşabileceği maksimum güç noktasına %99.96 izleme verimiyle eriştiği belirlenmiştir. Elde edilen bulgular, parçacık sürü optimizasyonu algoritmasının küresel maksimumu yakalama doğruluğu açısından daha başarılı olduğunu; bulanık mantık tabanlı değiştir ve gözle algoritmasının ise geçici rejim performansı açısından daha hızlı olduğunu göstermektedir.

Anahtar Kelimeler

• Fotovoltaik sistem
• Maksimum güç noktası takibi
• Kısmi gölgelenme
• Optimizasyon

Kaynakça

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