Rüzgar ve Termik Santrallerden Oluşan Enerji Sistemlerinde Ekonomik Güç Dağılımının Big-Bang Big-Crunch, PSO ve IMO Algoritmaları ile İrdelenmesi

Bu çalışmada, rüzgar santrallerinin enerji sisteminde artan etkilerini irdeleyebilmek için, rüzgar ve termik santrallerinden oluşan hibrit sistemin ekonomik güç dağılım problemi, üç güncel sezgisel algoritma kullanarak incelenmektedir. Optimizasyon çalışmalarında kullanımı yaygın olan Parçacık Sürü Optimizasyonu (Particle Swarm Optimization, PSO) ve Big-Bang BigCrunch (BB-BC) algoritmalarının yanında, literatüre yeni olarak sunulan İyon Hareket Optimizasyonu (Ions Motion Optimization, IMO) algoritması da kullanılarak en iyi ekonomik güç dağılımının belirlenmesi amaçlanmaktadır. Algoritmalarda kullanılan amaç fonksiyonunun minimize edilmesinin yanında, bu algoritmaların bilgisayarda harcadığı süreler de belirlenerek, enerji tesisi işletmecisinin süre yönünden de etkileneceği durumun ortaya konulması hedeflenmektedir. Çalışma sonuçları dikkate alındığında, BB-BC ve PSO algoritmalarının, IMO algoritmasına göre daha hızlı ve etkili olduğu anlaşılmaktadır.

BB-BC, PSO and IMO Algorithms for Economic Dispatch Problem of Wind-Thermal Power Plants

In this study, for examining the effect of wind power systems on energy systems, three new heuristic methods were compared to solve economic dispach problem of wind-thermal (hybrid) plants. These three heuristic algorithms are Big-Bang Big-Crunch (BBBC), Particle Swarm Optimization (PSO) that is generally used in optimization area and Ions Motion Optimization (IMO) which is newly developed. The objective function (the cost function) was solved to have minimum value in minimum time interval which can be affective on electricity system operator. The results were evaluated with different aspects (i.e. run-time, best value) avaible in the literature. The results of the comparison demonstrated that BB-BC algorithm and PSO algorithm were more effective than IMO algorithm.

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