MATLAB/Simulink ortamında hibrit MPPT yöntemlerinin performans karşılaştırması: kısmi gölgeleme durumları için bir yaklaşım

Year 2026, Volume: 15 Issue: 1, 1 - 1

Oğuzhan Timur , Bayram Kaan Uzundağ

Abstract

Bu makale, kısmi gölgeleme koşullarında fotovoltaik (FV) sistemler için yeni bir hibrit maksimum güç noktası izleyicisi (MGNİ) tekniği önermektedir. Önerilen yöntem, Artımlı İletkenlik ve Parçacık Sürüsü Optimizasyonu MGNİ tekniklerine dayanmaktadır. Sunulan hibrit yaklaşımın MATLAB/Simulink’te değerlendirilmesinde farklı ışınım seviyeleri kullanılmıştır. Önerilen yaklaşımla karşılaştırmak için hem Sabit Voltaj-Parçacık Sürüsü Optimizasyonu hibrit MPPT hem de Tepe Tırmanış-Parçacık Sürüsü Optimizasyonu hibrit MPPT teknikleri kullanılmıştır. Geleneksel algoritmalar ile doğa esinli algoritma olan PSO algoritmasını birleştiren hibrit yöntemler geliştirilerek algoritmaların avantajlarından faydalanılmıştır. Simülasyon sonuçlarında, kısmi gölgeleme durumlarında sunulan MPPT tekniğinin, izleme doğruluğunun yüksek, verimliliğinin %98.60, ortalama çıkış gücünün 23.063 kW, maksimum güç noktasına ulaşma süresinin 0.001 saniye ve güç dalgalanmasının 0.3 kW olduğu görülmüştür. Sonuç olarak, önerilen yöntem diğer hibrit algoritmalara göre en iyi sonuçları vermiş olup, diğer hibrit algoritmalardan daha iyi performans göstermektedir.

Keywords

Maksimum güç noktası , Maksimum güç noktası izleyicisi , MPPT metotları , Kısmi gölgelenme durumları , Fotovoltaik sistem

Performance comparison of hybrid MPPT methods in MATLAB/Simulink environment: An approach for partial shading situation

Abstract

This paper proposes a novel hybrid maximum power point tracking (MPPT) technique for photovoltaic (PV) systems under partial shading situations. The proposed method is based on Incremental Conductance and Particle Swarm Optimization MPPT techniques. Different irradiance levels have been used to evaluate the presented hybrid approach in MATLAB/Simulink. Both the Constant Voltage-Particle Swarm Optimization hybrid MPPT and the Hill Climbing-Particle Swarm Optimization hybrid MPPT techniques have been used for comparison with the proposed approach. Hybrid methods that combine traditional algorithms with the nature-inspired PSO algorithm have been developed to utilize the advantages of the algorithms. Simulation results show that the presented MPPT technique has high tracking accuracy, 98.60% efficiency, average output power of 23.063 kW, time to reach the maximum power point of 0.001 seconds, and power ripple of 0.3 kW under partial shading conditions. As a result, the proposed method gives the best results compared to other hybrid algorithms and outperforms other hybrid algorithms.

Keywords

Maximum power point , Maximum power point tracking , MPPT methods , Partial shading conditions , Photovoltaic system

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