Weight optimization of a dry type core form transformer by using particle swarm optimization algorithm
Küçük Resim Yok
Tarih
2012
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Sila Science
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
There are two imported parameters affecting the weight of a transformer. These are the iron part and the copper part of a transformer. Reducing the weight is the basic criteria to reduce the cost of a transformer. In this study, a partial swarm optimization (PSO) method is used to optimize the weight of a three phase core form dry type transformer. The total weight of the transformer (G(T)), has been accepted as the goal function. The constraints are added to the fitness function as the penalty function to constrain fitness function values. The efficiency ( ) and (Ls/a) has been taken as constraints. The fitness function has been obtained as a function of current density and transformer iron cross section convenience value. The critical values have been computed using the PSO method and the results have been evaluated. The results are compared with the results of the classical method, described in. The total weight which has been founded by using PSO is less than the weight which is founded with the classical method. The weight of a 1,5 KVA three phase core form dry type transformer, founded by using PSO, is 23.5547 kg whereas the weight, founded by classical method was 30.84 kg. It has been seen that intuitive PSO method is an alternative and better way to estimate the minimum weight values.
Açıklama
WOS: 000304512900032
Anahtar Kelimeler
Dry type transformer, Particle swarm optimization, Algorithm
Kaynak
Energy Education Science And Technology Part A-Energy Science And Research
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
Cilt
29
Sayı
2
