Optimum design of power system stabilizer based on improved ant colony optimization algorithm
Other Title(s)
التصميم الأمثل ل مثبت نظام القدرة المبني على خوارزمية مستعمرة النمل المطورة
Joint Authors
Judi, Muhannad Aziz
Abbas, Nizar Hadi
Hammadi, Ruba al-Mulla M. K.
Source
Issue
Vol. 24, Issue 1 (31 Jan. 2018), pp.123-145, 23 p.
Publisher
University of Baghdad College of Engineering
Publication Date
2018-01-31
Country of Publication
Iraq
No. of Pages
23
Main Subjects
Abstract EN
This paper presents an improved technique on Ant Colony Optimization (ACO) algorithm.
The procedure is applied on Single Machine with Infinite Bus (SMIB) system with power system stabilizer (PSS) at three different loading regimes.
The simulations are made by using MATLAB software.
The results show that by using Improved Ant Colony Optimization (IACO) the system will give better performance with less number of iterations as it compared with a previous modification on ACO.
In addition, the probability of selecting the arc depends on the best ant performance and the evaporation rate.
American Psychological Association (APA)
Hammadi, Ruba al-Mulla M. K.& Abbas, Nizar Hadi& Judi, Muhannad Aziz. 2018. Optimum design of power system stabilizer based on improved ant colony optimization algorithm. Journal of Engineering،Vol. 24, no. 1, pp.123-145.
https://search.emarefa.net/detail/BIM-796522
Modern Language Association (MLA)
Hammadi, Ruba al-Mulla M. K.…[et al.]. Optimum design of power system stabilizer based on improved ant colony optimization algorithm. Journal of Engineering Vol. 24, no. 1 (Jan. 2018), pp.123-145.
https://search.emarefa.net/detail/BIM-796522
American Medical Association (AMA)
Hammadi, Ruba al-Mulla M. K.& Abbas, Nizar Hadi& Judi, Muhannad Aziz. Optimum design of power system stabilizer based on improved ant colony optimization algorithm. Journal of Engineering. 2018. Vol. 24, no. 1, pp.123-145.
https://search.emarefa.net/detail/BIM-796522
Data Type
Journal Articles
Language
English
Notes
Includes appendices : p. 135-145
Record ID
BIM-796522
