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Journals / Türk Mühendislik Araştırma ve Eğitimi Dergisi / 2022 / Cilt: 1 Sayı: 2

Comprehensive Performance Analysis of Greywolf Optimizer for Overcurrent Relay Coordination

Aşırı Akım Röle Koordinasyonu için Bozkurt Algoritmasının Kapsamlı Performans Analizi

Mert Bekir ATSEVER
Mehmet Hakan HOCAOĞLU
Pages
52–61
Publication Date
2022-11-30
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In this study, the Greywolf Optimization Algorithm (GWO) for the IEEE 8 Bus test network has been successfully applied and comprehensive performance analysis has been carried out.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In power systems, the practice of overcurrent protection is more economical and common than the distance protection practice.
📊
Key Findings & Data:In addition, overcurrent protection is used in the majority of distribution networks.
💡
Conclusion & Impact:In this study, the Greywolf Optimization Algorithm (GWO) for the IEEE 8 Bus test network has been successfully applied and comprehensive performance analysis has been carried out.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Optimizasyon · röle koordinasyonu · bozkurt algoritması

Abstract

In power systems, the practice of overcurrent protection is more economical and common than the distance protection practice. In addition, overcurrent protection is used in the majority of distribution networks. This makes it necessary to design the coordination of overcurrent relays used in distribution networks in the most appropriate way. Otherwise, the relays cannot work as desired during the fault. In order for the coordination between the overcurrent relays to be effective and selective, the relay setting parameters must be adjusted depending on the network. With the expansion of distribution networks, it has become difficult to calculate or update the relay settings. For this reason, overcurrent relay coordination is designed as an optimization problem with a high number of constraints. At the point of solving the optimization problem, many meta-heuristic algorithms have been developed. In this study, the Greywolf Optimization Algorithm (GWO) for the IEEE 8 Bus test network has been successfully applied and comprehensive performance analysis has been carried out.

Özet

Güç sistemlerinde aşırı akım koruma pratiği, mesafe koruma pratiğinden daha ekonomik ve yaygındır. Ayrıca dağıtım şebekelerinin büyük bir çoğunluğunda aşırı akım koruma kullanılmaktadır. Bu durum, dağıtım şebekelerinde kullanılan aşırı akım rölelerin koordinasyonun en uygun şekilde tasarlanmasını gerekli kılmaktadır. Aksi halde sistemde gerçekleşen bir arıza sırasında röleler istenildiği gibi çalışamaz. Aşırı akım röleleri arasında koordinasyonun etkili ve seçici olabilmesi için röle ayar parametrelerinin şebekeye uygun ayarlanması gerekmektedir. Dağıtım şebekelerinin genişlemesi ile birlikte röle ayarlarının hesaplanması veya güncellenmesi zorlaşmıştır. Bu nedenle aşırı akım röle koordinasyonu yüksek sayıda kısıt içeren optimizasyon problemi şeklinde kurgulanmaktadır. Optimizasyon problemini çözümü noktasında ise peç çok meta-sezgisel algoritmalar geliştirilmiştir. Bu çalışmada IEEE 8 Baralı test şebekesi için Bozkurt Optimizasyon Algoritması (BOA) başarılı bir şekilde uygulanmış ve kapsamlı performans analizi gerçekleştirilmiştir.

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Cite This Article

ATSEVER, M. B., HOCAOĞLU, M. H. (2022). Comprehensive Performance Analysis of Greywolf Optimizer for Overcurrent Relay Coordination. Türk Mühendislik Araştırma ve Eğitimi Dergisi, Cilt: 1 Sayı: 2, 52–61. https://ajindex.com/articles/978285

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