PV PANELİNE BAĞLI BİR BUCK-BOOST DÖNÜŞTÜRÜCÜ İÇİN METAHÖRSTİK ALGORİTMALAR KULLANILARAK MPPT VE KONTROLÖR TASARIMI

Öz

Son yıllarda artan enerji talebi ve fosil yakıtların tükenmesi araştırmacıları yenilenebilir enerji kaynaklarına odaklanmaya yöneltmiştir. Bu bağlamda, genellikle güneş enerjisi üretimi için kullanılan fotovoltaik (PV) panellere bağlı DC-DC güç dönüştürücülerinin verimli kontrolü giderek daha önemli hale gelmiştir. Bu çalışmada, bir PV paneline bağlı bir Buck-Boost dönüştürücüyü en iyi şekilde kontrol etmek için yakın zamanda geliştirilen Yapay Sinekkuşu Algoritması (AHA) ve Çita Optimizasyon Algoritması (CO) kullanılmıştır. Hem AHA hem de COA, değişen sıcaklık ve ışınım koşulları altında PV panelinin maksimum güç noktasını (MPPT) izleyerek Zaman Ağırlıklı Karesel Hatanın İntegrali (ITSE) kriterine dayalı kontrol performansını artırmak için uygulanır. Algoritma, dönüştürücüde kullanılan Oransal-İntegral (PI) kontrolcünün parametrelerini optimize ederek sistemin dinamik tepkisini iyileştirir. Bulgular, önerilen yaklaşımın daha hızlı, daha kararlı ve daha doğru bir performans sağladığını göstermektedir.

Anahtar Kelimeler

• Metasezgisel Algoritmalar
• PV Panel
• Buck-Boost Dönüştürücü
• MPPT.

MPPT AND CONTROLLER DESIGN USING METAHEURISTIC ALGORITHMS FOR A BUCK-BOOST CONVERTER CONNECTED TO A PV PANEL

Öz

In recent years, the increasing energy demand and the depletion of fossil fuels have driven researchers to focus on renewable energy sources. In this context, the efficient control of DC-DC power converters connected to photovoltaic (PV) panels—commonly used for solar energy generation—has become increasingly important. This study employs the recently developed Artificial Hummingbird Algorithm (AHA) and the Cheetah Optimization Algorithm (CO) to optimally control a Buck-Boost converter coupled with a PV panel. Both AHA and COA are applied to enhance control performance based on the Integral of Time-Weighted Squared Error (ITSE) criterion by tracking the maximum power point (MPPT) of the PV panel under varying temperature and irradiance conditions. The algorithm optimizes the parameters of the Proportional–Integral (PI) controller used in the converter, thereby improving the system’s dynamic response. The findings demonstrate that the proposed approach delivers faster, more stable, and more accurate performance.

Anahtar Kelimeler

• Metaheuristic Algorithms
• PV Panel
• Buck-Boost Converter
• MPPT.

Kaynakça

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