Ugur GUVENC, Huseyin BAKIR, Serhat DUMAN

Termik Santrallerde Yakıt Maliyet Eğrilerinin Tahmini için Yarı-Kesin Programlamanın Başarısının Araştırılması

Termik güç santrallerinde, yakıt maliyet eğrisi parametreleri ekonomik dağıtım hesaplamalarını doğrudan etkilediği için bu parametrelerin doğru tahmin edilmesi büyük önem taşımaktadır. Bu çalışmada, termik santrallerdeki yakıt maliyet fonksiyonu parametrelerinin tahmini için yarı kesin programlama (YKP) yaklaşımı önerildi. Parametre tahmin problemi, amaç fonksiyonunun toplam mutlak hata (TMH) olarak kabul edildiği bir minimizasyon problemi olarak tasarlandı. Ayrıca, yakıt maliyet eğrisi parametrelerini tahmin etmek için doğrusal, ikinci dereceden ve kübik yakıt maliyet fonksiyonları kullanıldı. Simülasyon çalışmaları için kömür, petrol ve gaz gibi farklı yakıt türleri tercih edildi. Yarı kesin programlama yönteminden elde edilen sonuçlar sırasıyla parçacık sürüsü optimizasyonu (PSO), yapay arı kolonisi (YAK), karga arama algoritması (KAA) ve en küçük hata karesi (EKHK) yöntemleriyle karşılaştırıldı. Yöntemlerin performansı TMH parametresine göre karşılaştırılmıştır. Simulasyon sonuçları YKP yönteminin bu makalede dikkate alınan diğer yöntemlerden daha başarılı olduğu gösterdi. Bu makale YKP'nin parametre tahmin problemlerini çözme potansiyelinin yüksek olduğunu açıkça gösterdi.

Investigation the Success of Semidefinite Programming for the Estimating of Fuel Cost Curves in Thermal Power Plants

Accurate estimation of fuel cost curve parameters in thermal power plants is of great importance because these parameters directlyinfluence the economic dispatch calculations. In this paper, a semidefinite programming (SDP) approach was proposed for theestimation of fuel cost functions' parameters in thermal power plants. The parameter estimation problem was designed as aminimization problem, where the objective function was accepted as the total absolute error (TAE) in the study. Also, linear,quadratic, and cubic fuel cost functions were used to estimate the fuel cost parameters. Different fuel types such as coal, oil andgas were preferred for simulation studies. The results achieved from the semidefinite programming method were compared withthat of particle swarm optimization (PSO), artificial bee colony (ABC), crow search algorithm (CSA) and least error square (LES)methods, respectively. The performance of the methods were compared according to the TAE parameter. Simulation results showedthat SDP method is more successful than other methods considered in this paper. Clearly, the present paper showed that SDP hasa higher potential to solve parameter estimation problems.

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