Mert Sinan TURGUT, GÜLESER KALAYCI DEMİR

Ekonomik Yük Dağıtımı Probleminin Yapay İşbirlikçi Algoritması ile Çözümü

Ekonomik Yük Dağıtımı (EYD) problemi, farklı kapasitelerdeki güç üretim ünitelerinin işletiminin, toplam elektrik talebini en az maliyet ile sağlayacak şekilde en iyilenmesi ile ilgilenir. Üretim ünitelerinin maliyet fonksiyonlarında yer alan valf kısma etkileri ve yasaklı çalışma alanları nedeni ile EYD problemi doğrusal ve konveks olmayan bir en iyileme problemidir. Bu çalışmada, Yapay İşbirlikçi Algoritması (YİA) EYD probleminin çözülmesi amacı ile önerilmiştir. Önerilen yöntem, sürü zekası tabanlı, bir habitatta bulunan av ve avcı ilişkisine dayanan, bütünsel aramada etkili bir üstsezgisel optimizasyon algoritmasıdır. Yöntemin EYD problemindeki etkinliği, iki farklı test üretim sistemine uygulanarak gösterilmiştir. Elde edilen sonuçlar, YİA ile literatürde yer alan diğer en iyileme algoritmalarına göre daha düşük işletim maliyeti elde edileceğini ortaya koymaktadır.

Solution of the Economic Load Dispatch Problems with Artificial Cooperative Search Algorithm

Economic Load Dispatch (ELD) problem deals with meeting the load demand by optimizing the operation of different power generation units at the minimum operating cost. Caused by the effect of valve-points and prohibited operation zone in the generating units' cost functions, ELD problem is a non-linear and non-convex optimization problem. In this paper, Artificial Cooperative Search (ACS) algorithm is proposed to solve ELD problem. Proposed method, is a Swarm Intelligence-based metaheuristic algorithm, based on the interaction between prey and predator organisms in a habitat, being effective at global search. The effectiveness of the proposed method on ELD problem is examined by applying on two different test generation systems. The results show that ACS algorithm gives lower generation cost than other optimization algorithms in the literature.

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