Dynamic economic dispatch with valve point effect by using GA and PSO Algorithm

Mikail Purlu, Belgin Emre Turkay

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

6 Atıf (Scopus)

Özet

This paper presents Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) technique to solve dynamic economic dispatch (DED) problem. The main purpose of DED is to minimize total cost of generation power to take care of the various load demand in each hour. DED problem solution also must provide individual inequality and equality constraints at the same time. The algorithms have been applied to two test system, taking into account transmission losses. The first of the selected systems is 3 unit test system and the second is 10 unit system considering the valve point effect. Simulation results applied on the test systems show that the two algorithms obtained optimal and reliable results compared to the other methods used in the literature.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığı2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018
EditörlerSeref Naci Engin, Dogan Onur Arisoy, Muhammed Ali Oz
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)9781538676417
DOI'lar
Yayın durumuYayınlandı - Eki 2018
Etkinlik6th International Conference on Control Engineering and Information Technology, CEIT 2018 - Istanbul, Turkey
Süre: 25 Eki 201827 Eki 2018

Yayın serisi

Adı2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018

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???event.eventtypes.event.conference???6th International Conference on Control Engineering and Information Technology, CEIT 2018
Ülke/BölgeTurkey
ŞehirIstanbul
Periyot25/10/1827/10/18

Bibliyografik not

Publisher Copyright:
© 2018 IEEE.

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