Robust Tuning of Power System Stabilizer by Using Orthogonal Learning Artificial Bee Colony
Yükleniyor...
Tarih
2015
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier Science Bv
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This study presents a design technique of a robust power system stabilizer using different performance indices obtained from artificial bee colony (ABC) algorithm. The parameters of a power system stabilizer (PSS) are tuned by using the ABC algorithm to achieve an acceptable overshoot and settling time at all load points within a wide region of operation. The objective function allows the selection of the stabilizer parameters to minimize the overshoot and settling time at all load conditions. For robust PSS performance, a wide range of operating conditions is considered for search space. The designed PSS is applied to a single-machine infinite-bus system operating at different loading conditions and the results demonstrated that the developed technique is very effective.
Açıklama
9th IFAC Symposium on Control of Power and Energy Systems (CPES 2015) -- DEC 09-11, 2015 -- New Delhi, INDIA
EKE, ibrahim/0000-0003-4792-238X
EKE, ibrahim/0000-0003-4792-238X
Anahtar Kelimeler
Orthogonal Learning, Artificial Bee Colony, Performance Indices, Power System Stabilizer
Kaynak
Ifac Papersonline
WoS Q Değeri
N/A
Scopus Q Değeri
Q3
Cilt
48
Sayı
30
Künye
closedAccess
