Detection of the Most Suitable Method to Estimate Short-Circuit Parameter's Values of the Electric Facility
Küçük Resim Yok
Tarih
2012
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
TURGUT OZAL UNIV
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Short-circuit is a damaging event for electrical facilities and electric networks. Thus short circuit capacity of a main circuit breaker of an electrical facility must be determined correctly. Otherwise, then circuit breaker cannot cut shortcircuit current, and so protection and measuring elements are damaged. Primarily short-circuit parameter values of electric facility which will be connected to an electrical network must be determined correctly to determine short-circuit capacity of main circuit breaker of electric facility. In this study, short circuit parameter's values of electric facility were estimated by using clonal selection algorithm (CSA) and genetic algorithm (GA). The end of this study, accuracy rate of estimated short-circuit parameters with CSA and GA was compared. The best solution algorithm was determined for these problems.
Açıklama
9th International Conference on Electronics Computer and Computation (ICECCO 2012) -- NOV 01-03, 2012 -- Ankara, TURKEY
Anahtar Kelimeler
Accuracy rate, CSA, electric facility, GA, Short-circuit capacity, short circuit parameters
Kaynak
ICECCO'12: 9TH INTERNATIONAL CONFERENCE ON ELECTRONICS, COMPUTER AND COMPUTATION
WoS Q Değeri
N/A
