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ECONOMIC DISPATCH AT THE AMBARLI POWER PLANT USING GENETIC ALGORITHM

AMBARLI SANTRALINDA GENETİK ALGORİTMA İLE EKONOMİK YÜK DAĞITIMI

Journal Name:

  • Istanbul University Journal of Electrical & Electronics Engineering

Publication Year:

  • 2002

Key Words:

Keywords (Original Language):

Author NameUniversity of Author
Abstract (2. Language): 
In this paper we consider the important problem of economic operation of power systems: how to operate a power system to supply all loads at minimum cost. Here we assume that we have some flexibility in adjusting the power delivered by each generator. Of course, if we have a "peak" demand for power that is so large that all the available generator capacity must be used, there are no options. But usually the total load is less than the available generator capacity and there are many possible generation assignments. In this work, genetic algorithm (GA) solution to economic dispatch problem of Ambarlý Power Plant is presented. An advantage of the GA solutions is that they do not impose any convexity restrictions. Another advantage is that GAs can be very effectively coded to work on parallel machines.
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Abstract (Original Language): 
Bu makalede güç sistemindeki bütün yüklerin minimum maliyetle beslenebilmesini gerçekleyen ekonomik iþletme problemi incelenecektir. Çalýþmada herbir generatör tarafýndan gücün ayarlanabildiði kabul edilmiþtir. Eðer, çekilen maksimum yük toplam generatör kapasitesinin üzerinde ise ekonomik yük daðýtýmýndan söz etmek mümkün degildir. Ancak genellikle toplam yük mevcut generatör kapasitelerinin altinda olduðundan generatörler arasýnda ekonomik yük daðýtýmý yapýlmasý sözkonusu olabilir. Yapýlan çalýþmada, Ambarlý santralýnda gruplar arasýnda ekonomik yük daðýtýmý yapabilmek için genetic algoritma (GA) yöntemi kullanýlmýþtýr. GA ‘nýn herhangibir konveks sýnýrlama içermemesi çözüm de üstünlük saðlamaktadýr. Ayrýca GA paralel çalýþan makinalar da verimli olarak programlanabilmektedir.
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  • 1
395-399
  • English

REFERENCES

References: 

[1] Wood, A., J., Wollenberg, B.F.,“Power
generation, Operation and Control” John Willey
and Sons, 1996.
[2] Saadat, H.,” Power System Analysis”,
McGraw-Hill, 1999.
[3] Bakirtzis, A., Petridis, V., Kazarlis, S.,”
Genetic Algorithm solution to the Economic
Dispatch Problem”, IEE Proc. Gener. Transm.
Distrib., Vol 141, No4, July 1994, pp377-382.
[4] Davis, L.,” Handbook of genetic algorithms”,
Van Nostrand, Newyork, 1991
[5] Liang, Z.Z., Glover, J.D. “ Improved Cost
Functions for Economic dispatch” IEEE Trans.,
1991, PWRS_6, pp 821-829

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