Pv Sistemler için Mppt Kontrol Cihazı Tasarımı ve Karşılaştırılması

Mustafa Teke; Alaa Shakır Mhmood Al-arjeelı; Fatih Korkmaz

doi:10.29137/umagd.1113630

Research Article

Design And Comparison of Mppt Controller for Pv Systems

Year 2023, Volume: 15 Issue: 1, 1 - 15, 31.01.2023

Mustafa Teke , Alaa Shakır Mhmood Al-arjeelı Fatih Korkmaz

https://doi.org/10.29137/umagd.1113630

Abstract

Elektrik enerjisi insan hayatında çok önemli ve vazgeçilmez bir unsurdur, bu yüzden elektrik üretimi yollarını bulmak ve kesintiye uğramamak için çalışmalar yapılmalıdır. Elektrik enerjisi üretiminin ana kaynağı fosil yakıtlardır, ancak maliyetlerinin artması ve genel kıtlık ve büyük nüfus artışı ile birlikte teknolojik ilerleme nedeniyle elektrik enerjisi talebindeki artış araştırmacıların yenilenebilir ve sürdürülebilir enerji üretimine yöneltmektedir. Güneş enerjisi, yenilenebilir çevre dostu enerjinin en önemli kaynaklarındandır. Ancak güneş enerjisi düşük verimliliğe sahiptir, bu nedenle araştırmacıların verimliliği artırmanın yollarını bulmaları için bir ilgi kaynağı haline gelmiştir. Maksimum Güç Noktası İzleme tekniği, günümüzde fotovoltaik sistemlerin verimliliğini artırmak için kullanılan tekniklerden biri olarak kabul edilmektedir. Araştırmacılar, maksimum güç noktası takibi için MPPT teknolojisinde uygulanacak bir dizi algoritma geliştirmeye ve uygulamaya, farklı ölçüm koşullarında güneş panellerinden maksimum gücü çıkarmaya ve belirli bir seviye sağlamak için bir DC-DC dönüştürücünün görev döngüsünü kontrol etmeye odaklanmaktadır. Bu çalışmada, üç farklı algoritmayı maksimum güç noktası izleme tekniğinde uygulayacağız, bunlar Pertürbasyon ve Gözlem (P&O) algoritması, bulanık mantık denetleyicisi (FLC) algoritması ve parçacık sürüsü optimizasyonu (PSO) algoritmalarıdır. Fotovoltaik sistem tasarımları MATLAB/Simulink kullanılarak simüle edilmiş ve simülasyon sonuçları standart ve değişken test koşulları altında karşılaştırılmıştır. Sonuçta en verimli algoritma parçacık sürüsü optimizasyonu algoritması olmuştur.

Keywords

Maximum power point tracking, Photovoltaic (PV) system, Perturb and Observe controller, Fuzzy logic controller, Particle swarm optimization

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