Tuning of Optimal Classical and Fractional Order PID Parameters forAutomatic Generation Control Based on the Bacterial Swarm Optimization
Yükleniyor...
Tarih
2015
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier Science Bv
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Particle Swarm Optimization algorithm converges rapidly during the initial stage of a global search, but around global optimum, the search process slows down. In order to overcome this problem and to further enhance the performance of Particle Swarm Optimization. this paper implements a hybrid algorithm. Bacterial Swarm Optimization, combining the features of Bacterial Foraging Optimization and Particle Swarm Optimization The PID parameters of classical and fractional-order controllers are optimized with Bacterial Swann Optimization for load frequency control of a two area power system. Simulation results show fractional-order PID controller has less settling time and less overshoot than the classical PID controller for most of studies. (C) 2015, IFAC (International Rderation or Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
Açıklama
9th IFAC Symposium on Control of Power and Energy Systems (CPES 2015) -- DEC 09-11, 2015 -- New Delhi, INDIA
Ozdemir, Mahmut Temel/0000-0002-5795-2550; EKE, ibrahim/0000-0003-4792-238X; CELIK, Vedat/0000-0001-8870-8465
Ozdemir, Mahmut Temel/0000-0002-5795-2550; EKE, ibrahim/0000-0003-4792-238X; CELIK, Vedat/0000-0001-8870-8465
Anahtar Kelimeler
Power system control, automatic generation control, bacterial swarm optimization, fractional calculus, fractional-order PID controller
Kaynak
Ifac Papersonline
WoS Q Değeri
N/A
Scopus Q Değeri
Q3
Cilt
48
Sayı
30
