Application and comparative performance analysis of PSO and ABC algorithms for optimal design of multimachine power system stabilizers
Yükleniyor...
Tarih
2016-06-20
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Gazi Üniversitesi
Erişim Hakkı
info:eu-repo/semantics/openAccess
Attribution-ShareAlike 3.0 United States
Attribution-ShareAlike 3.0 United States
Özet
This paper presents the application and performance comparison of PSO and ABC optimization techniques, for
multi-objective design of power system stabilizers (PSSs) in the multi-machine power system. The design objective
is to improve the power system stability. The PSSs parameters tuning problem is converted to an optimization
problem with the time domain-based objective function and both PSO and ABC optimization techniques are used to
search for optimal stabilizers parameters. The optimized stabilizers are tested on multi-machine electric power
system subjected to different disturbances. The performance of both optimization techniques in terms of
computational time, convergence rate and solution quality is compared. The eigenvalue analysis, nonlinear timedomain simulation results, critical clearing times and some performance indices studies are introduced and compared
in order to demonstrate the effectiveness of both optimization techniques in designing stabilizers, to enhance the
dynamic stability of the system. What is more, the potential and superiority of the ABC algorithm over the PSO
algorithm are verified.
Açıklama
Anahtar Kelimeler
Artificial Bee Colony (ABC) Algorithm, Particle Swarm Optimization (PSO), PSS Design, Dynamic Stability, Multi-Machine Power System
Kaynak
WoS Q Değeri
N/A
Scopus Q Değeri
Q3
Cilt
Sayı
Künye
Ekinci, S . (2016). Application and comparative performance analysis of PSO and ABC algorithms for optimal design of multimachine power system stabilizers. Gazi University Journal of Science, 29 (2), pp. 323-334.
