Synergy of simulated annealing and particle swarm algorithms for optimizing statcom damping controller
Other Title(s)
التآزر بين خوارزميات محاكاة التقسية لتشكيل المعادن و سرب الجسميات لتصميم فعال لمتحكم المعوض التزامني الساكن المخمد للاهتزازات في الشبكات الكهربائية
Author
Source
Journal of Engineering Sciences
Issue
Vol. 43, Issue 6 (30 Nov. 2015), pp.857-881, 25 p.
Publisher
Assiut University Faculty of Engineering
Publication Date
2015-11-30
Country of Publication
Egypt
No. of Pages
25
Main Subjects
Abstract EN
Synergy of Simulated Annealing (SA) and Particle Swarm Optimization (PSO) for optimal design of Static Synchronous Compensator (STATCOM) controller is advised in this article.
The advised SA-PSO algorithm remedies the premature convergence and parameter dependency of PSO via SA probabilistic jumping property, metropolis process.
The STATCOM controller design is formulated as nonlinear constrained optimization problem.
The objective function considers the key operating states, while satisfying a predesigned stability margin and achieving performance objectives.
The advised SA-PSO efficiently damps the power system oscillations following severe disturbance/fault conditions, while fulfilling the STATCOM basic function in regulating voltage profiles and confining with the operational limits.
The dynamic performance of the Single Machine Infinite Bus (SMIB) and Multi Machine Power (MMP) systems equipped with STATCOM tuned via PSO, SA and SA-PSO is investigated under different operating conditions.
The functionality of STATCOM stabilizing controller to restore SMIB system stability under different disturbances and loading conditions is verified.
Furthermore, STATCOM damping controller capability of maintaining stability under fault scenarios is corroborated for MMP system.
The comprehensive simulation results from SMIB and MMP systems demonstrate robustness, effectiveness, and visibility of the advised SA-PSO in tuning STATCOM compared with PSO and SA.
American Psychological Association (APA)
Hafiz, Ahmad A. A.. 2015. Synergy of simulated annealing and particle swarm algorithms for optimizing statcom damping controller. Journal of Engineering Sciences،Vol. 43, no. 6, pp.857-881.
https://search.emarefa.net/detail/BIM-819496
Modern Language Association (MLA)
Hafiz, Ahmad A. A.. Synergy of simulated annealing and particle swarm algorithms for optimizing statcom damping controller. Journal of Engineering Sciences Vol. 43, no. 6 (Nov. 2015), pp.857-881.
https://search.emarefa.net/detail/BIM-819496
American Medical Association (AMA)
Hafiz, Ahmad A. A.. Synergy of simulated annealing and particle swarm algorithms for optimizing statcom damping controller. Journal of Engineering Sciences. 2015. Vol. 43, no. 6, pp.857-881.
https://search.emarefa.net/detail/BIM-819496
Data Type
Journal Articles
Language
English
Notes
Record ID
BIM-819496