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Journals / Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi / 2026 / Cilt: 13 Sayı: 2

Electric fish optimization for economic load dispatch problem

Ekonomik yük dağitim problemi için elektrik baliği optimizasyonu

Yağmur Arıkan Yıldız(CUMHURİYET ÜNİVERSİTESİ)0000-0003-0947-2832
Özge Pınar Akkaş(KIRIKKALE ÜNİVERSİTESİ, MÜHENDİSLİK FAKÜLTESİ, ELEKTRİK-ELEKTRONİK MÜHENDİSLİĞİ BÖLÜMÜ, ELEKTRİK TESİSLERİ ANABİLİM DALI)0000-0001-5704-4678
Mustafa Saka(İSKENDERUN TEKNİK ÜNİVERSİTESİ)0000-0003-4157-2980
Melih Çoban(BOLU ABANT İZZET BAYSAL ÜNİVERSİTESİ)0000-0001-9528-7187
İbrahim Eke(KIRIKKALE ÜNİVERSİTESİ)0000-0003-4792-238X
Pages
680–689
Publication Date
2024-04-15
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AI Summary & Key Takeaways

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

It is evident that the presented algorithm offers a valuable solution for optimizing ELD problems.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The Economic Load Dispatch (ELD) problem is an essential aspect of power system planning and operational scheduling.
📊
Key Findings & Data:In this paper, a new algorithm called Electric Fish Optimization (EFO) is used to solve the ELD problem by considering the line losses, ramp rate limits, maximum and minimum capacities of the generators and prohibited operating zones (POZ).
💡
Conclusion & Impact:It is evident that the presented algorithm offers a valuable solution for optimizing ELD problems.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Ekonomik yük dağıtımı · elektrik balığı optimizasyonu · güç sistemleri

Abstract

The Economic Load Dispatch (ELD) problem is an essential aspect of power system planning and operational scheduling. Different techniques and algorithms have been recommended to solve it, aiming to minimize the cost of power generation with satisfying the load requirements. In this paper, a new algorithm called Electric Fish Optimization (EFO) is used to solve the ELD problem by considering the line losses, ramp rate limits, maximum and minimum capacities of the generators and prohibited operating zones (POZ). The algorithm has been utilized in test systems consisting of 6 and 15 units and its outcomes have been compared to those from previous research studies. The proposed algorithm has been shown to achieve minimum cost, indicating its superiority and effectiveness in addressing power system planning challenges. It is evident that the presented algorithm offers a valuable solution for optimizing ELD problems.

Özet

Ekonomik Yük Dağıtımı (EYD) problemi, güç sistemi ve güç sisteminin işletimi planlamasında çok önemli bir alandır. Bu problem çözmek için yük talebini karşılarken elektrik üretim maliyetini en aza indirmeyi amaçlayan farklı teknikler ve algoritmalar önerilmiştir. Bu çalışmada, hat kayıpları, rampa hız limitleri, jeneratörlerin maksimum ve minimum kapasiteleri ile yasak çalışma bölgeleri dikkate alınarak EYD problemini çözmek için Elektrik Balığı Optimizasyonu (EBO) adı verilen yeni bir algoritma kullanılmıştır. Algoritma 6 ve 15 birimden oluşan test sistemlerinde uygulanmıştır ve sonuçları daha önce yapılan araştırmalarla karşılaştırılmıştır. Önerilen algoritmanın, güç sistemi planlama zorluklarını ele almadaki üstünlüğünü ve etkinliğini gösteren minimum maliyete ulaştığı gösterilmiştir. Önerilen algoritmanın EYD problemlerini optimize etmek için değerli bir çözüm sunduğu sonucuna varılmıştır.

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Cite This Article

Yıldız, Y. A., Akkaş, Ö. P., Saka, M., Çoban, M., Eke, İ. (2024). Electric fish optimization for economic load dispatch problem. Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi, Cilt: 13 Sayı: 2, 680–689. https://doi.org/10.28948/ngumuh.1390037

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