Şebekeye bağlı PV sistemleri için artımlı iletkenlik-Grey Wolf optimizasyonuna dayalı yeni Hibrit MPPT

Öz

Son yıllarda, yenilenebilir enerji kaynaklarının kullanımı, başta karbondioksit (CO₂) emisyonları olmak üzere geleneksel enerji kaynaklarıyla ilişkili olumsuz etkileri azaltmak için önemli ölçüde artmıştır. Fotovoltaik (PV) sistemin kesintili doğası nedeniyle, PV sisteminin çıkış gücü dalgalanmaktadır ve bu dalgalanma güç sisteminin çıkış gücünü ve güç kalitesini etkilemektedir. Verimlilik ve güç kalitesi sorunlarının ortadan kaldırmak için maksimum güç noktası izleme teknikleri (MPPT) kullanılmaktadır. Bu makalede, şebekeye bağlı PV sistemlerin verimliliğini ve güç kalitesini artırmak için yeni bir hibrit MPPT algoritması önerilmektedir. Önerilen MPPT, modified Incremental Conductance ve Grey Wolf optimizasyonunu kullanmaktadır. Incremental Conductance (INC), Modified Incremental Conductance (M_INC), Perturb & Observe (P&O), Modified Perturb & Observe (M_P&O) ve Grey Wolf Optimizasyonu (GWO) MPPT yöntemleri MATLAB'da simüle edilmiştir ve önerilen algoritma ile karşılaştırılmıştır. Simülasyon sonuçları, önerilen algoritmanın %2,31'lik en düşük THD değerine sahip olarak diğer algoritmalardan daha iyi performans gösterdiğini ve çıkışta daha az salınımla %99,71'lik verime ulaştığını göstermektedir.

Anahtar Kelimeler

• THD
• Şebekeye bağlı PV sistemi
• Hibrit modifiye artımlı iletkenlik-gri kurt optimizasyonu
• MPPT
• Güç verimliliği

Novel Hybrid MPPT based on modified incremental conductance-grey wolf optimization for grid connected PV systems

Abstract

In recent years, the utilization of renewable energy sources has expanded significantly to mitigate the adverse effects associated with conventional energy sources, particularly carbon dioxide (CO₂) emissions. Due to the intermittent nature of the Photovoltaic (PV) system, the output power of the PV system fluctuates which affects the output power and power quality of the power system. Maximum power point tracking techniques (MPPT) are utilized to overcome efficiency and power quality problems. In this paper, a hybrid MPPT algorithm is proposed to improve efficiency and power quality for grid-connected PV systems. The proposed MPPT combines modified incremental conductance and grey wolf Optimization. Incremental Conductance (INC), Modified Incremental Conductance (M_INC), Perturb & Observe (P&O), Modified Perturb & Observe (M_P&O), and Grey Wolf Optimization (GWO) MPPT methods are implemented in MATLAB and compared with the proposed algorithm. The simulation results ensure the outperform of the proposed algorithm to the other algorithms by possessing the lowest THD of 2.31% and it reaches the efficiency of 99.71% with less oscillation at the output.

Keywords

• THD
• Grid connected PV system
• Hybrid modified incremental conductance-grey wolf optimization
• MPPT
• Power efficiency

Kaynakça

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