Bulanık Mantık Tip-3 Kullanılarak Mikro Şebeke Frekans Regülasyonu

Geleneksel enerji kaynaklarının tükenmesi ve çevreye zarar vermesi gibi dezavantajlar, yenilenebilir enerji kaynaklarının kullanımının artmasına neden olmuştur. Yenilenebilir enerji kaynakları süreksizlik sorunuyla karşı karşıyadır. Bu sorunu çözmek için mikro şebeke sistemleri önerilmektedir. Mikro şebekeler güç dengesizliği, jeneratör hızı ve yük değişiklikleri gibi durumlarda frekans problemleri yaşayabilir, bu da teknik ve ekonomik sorunlara yol açar. Bu makalede, güç dengesizliği sorununu çözmek için tip-3 bulanık mantık kontrolör (T3-BMK) temelli bir kontrol şeması sunulmaktadır. Bu kontrol şeması, matematiksel modellere dayanmaz ve değişken hava koşulları ve üretim ve tüketimdeki değişimi hesaba katarak kontrol etme imkanı sağlar. Önerilen kontrol şeması, kurallara ek olarak bulanık kümelerin parametrelerini hızlı bir şekilde ayarlamak için tasarlanmıştır. Ayrıca, önerilen T3-BMK tabanlı kontrol şeması, güç dengesizliklerini etkin bir şekilde çözebilir ve mikro şebekelerin istikrarını artırabilir. Bu çalışmada, önerilen yöntem, bir mikro şebeke üzerinde gerçekleştirilen bir vaka çalışmasıyla test edilmiş ve T1-BMK, T2-BMK ve klasik PID yöntemleriyle karşılaştırılmıştır. Elde edilen sonuçlar, önerilen şemanın frekans stabilizasyon performansının diğer yöntemlere göre daha iyi olduğunu göstermektedir. Ayrıca, değişken yük, bilinmeyen dinamikler ve yenilenebilir enerji kaynaklarındaki değişiklikler gibi zorlu koşullar altında da başarılı bir şekilde frekans stabilizasyonu sağlayabilmektedir.

Anahtar Kelimeler:

Dağıtık Üreteçler, PV, Rüzgar, Yakıt hücresi, Batarya, Tip-3 Bulanık Mantık, Frekans Kontrol, Mikro şebekeler

Microgrid Frequency Regulation Using Fuzzy Logic Type-3

The rise in use of renewable energy sources can be attributed to the presence of drawbacks, such as the depletion of conventional energy sources and the adverse impact on the environment. Renewable energy sources have the challenge of intermittency. In order to address this issue, the implementation of microgrid systems is suggested. Frequency issues can arise in microgrids due to factors such as power imbalances, fluctuations in generator speed, and changes in load. These issues can lead to both technical and economic challenges. This article presents a control strategy that utilizes a type-3 fuzzy logic controller (FLC) to address the issue of power imbalance. The control technique in question does not rely on mathematical models and offers the potential to incorporate changeable weather conditions as well as fluctuations in production and consumption. The control technique that has been proposed is specifically designed to efficiently modify the parameters of fuzzy sets, as well as the associated rules. Additionally, the control method based on T3-FLC that has been suggested demonstrates the capacity to efficiently address power imbalances and enhance the stability of microgrids. The suggested methodology has undergone testing through a case study conducted on a microgrid, and has been compared to T1-FLC, T2-FLC, and standard PID approaches. The results collected from the study demonstrate that the proposed system exhibits superior frequency stabilization performance compared to alternative techniques. Furthermore, it has the capability to effectively ensure frequency stabilization in demanding scenarios characterized by fluctuating loads, uncertain dynamics, and variations in renewable energy sources.

Keywords:

Distributed generations, PV, Wind, Fuel cell, Battery, Type-3 fuzzy logic, Frequency control, Microgrids,

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