A Hybrid GA-PSO Approach Based on Similarity for Various Types of Economic Dispatch Problems
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Dosyalar
Tarih
2011
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Kaunas Univ Technology
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
U. Guvenc, S. Duman, B. Saracoglu, A. Ozturk. A Hybrid GA-PSO Approach Based on Similarity for Various Types of Economic Dispatch Problems // Electronics and Electrical Engineering. - Kaunas: Technologija, 2011. - No. 2(108). P. 109-114. Economic dispatch problem is an optimization problem where objective function is highly nonlinear. In this paper, an efficient method based on hybrid genetic algorithm- particle swarm optimization (GA-PSO) for economic dispatch (ED) problem is proposed. In the proposed method, children created by using similarity measurement between mother and father chromosomes relationship. The feasibility of the proposed approach is demonstrated for solve various types of economic dispatch (ED) problems in power systems such as, economic dispatch with valve point (EDVP) effects, the ED of generators with prohibited operating zones and ED with only fuel options and it is compared in the recent literature. The study results show that the proposed approach is more efficient in finding higher quality solutions in various type ED problems. Ill. 3, bibl. 20, tabl. 10 (in English; abstracts in English and Lithuanian).
Açıklama
GUVENC, Ugur/0000-0002-5193-7990; Duman, Serhat/0000-0002-1091-125X
WOS: 000288051500024
WOS: 000288051500024
Anahtar Kelimeler
Kaynak
Elektronika Ir Elektrotechnika
WoS Q Değeri
Q3
Scopus Q Değeri
Q3
Cilt
108
Sayı
2
