Comparison of ABC and Genetic Algorithms on Economic Power Dispatch
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Dosyalar
Tarih
2018
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Ieee
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Recently, an economic evaluation of the power system becomes one of main issues in the power system management since the power production and power selling consider a financial aspect. The system should be operated in the lowest cost and cheaper fee for consumers. In particular, an environmental protection also becomes a major issue to penetrate the pollutant production of thermal power plants. To cover this issue, one of strategies is approached using a combined economic emission dispatch (CEED) considered an economic dispatch (ED) and an emission dispatch (EmD). In these studies, the CEED is optimized using Artificial Bee Colony Algorithm which is contrasted to Genetic Algorithm for comparing both performances. By considering both algorithms, results show that generated powers lead to the total cost and pollutant emission. The total minimum cost is performed in the optimal solution with different speeds. Combinations of ED and EmD also give difference implications.
Açıklama
10th Annual International Conference on Information Technology and Electrical Engineering (ICITEE) -- JUL 24-26, 2018 -- Kuta, INDONESIA
Family Name Deactivated, Given Names Deactivated/0000-0001-9019-810X; Fadlika, Irham/0000-0001-6201-5847; Sendari, Siti/0000-0002-8681-7024
WOS: 000455749500009
Family Name Deactivated, Given Names Deactivated/0000-0001-9019-810X; Fadlika, Irham/0000-0001-6201-5847; Sendari, Siti/0000-0002-8681-7024
WOS: 000455749500009
Anahtar Kelimeler
Abc algorithm, economic dispatch, emission dispatch, genetic algorithm, load demand, power system
Kaynak
Proceedings Of 2018 The 10Th International Conference On Information Technology And Electrical Engineering (Icitee)
WoS Q Değeri
N/A
