Load frequency control for two-area multi-source interconnected power system using intelligent controllers
Other Title(s)
السيطرة على تردد الحمل لمنظومة قدرة لمنطقتين متعددة المصادر باستخدام مسيطرات ذكية
Author
Source
Tikrit Journal of Engineering Sciences
Issue
Vol. 25, Issue 1 (31 Mar. 2018), pp.78-86, 9 p.
Publisher
Tikrit University Colleg of Engineering
Publication Date
2018-03-31
Country of Publication
Iraq
No. of Pages
9
Main Subjects
Abstract EN
This paper presents the study of intelligent controllers for Two-area multi-source interconnected power system model.
The controller gains are optimized using Conventional method, GA and BAT algorithms and investigation is carried out for the best optimization method on the basis of dynamic performance and stability of the power system model.
The power system model under investigation two area each area consists of thermal, hydro and Double Fed Induction Generator (DFIG) based wind unit with different participation factor in the total generation for their respective area.
It has been observed that an appreciable improvement in the system dynamic performance is achieved using Bat algorithms for load frequency controller for multisource power system model as compared with conventional method and GA algorithm
American Psychological Association (APA)
Husayn, Arkan Ahmad. 2018. Load frequency control for two-area multi-source interconnected power system using intelligent controllers. Tikrit Journal of Engineering Sciences،Vol. 25, no. 1, pp.78-86.
https://search.emarefa.net/detail/BIM-938939
Modern Language Association (MLA)
Husayn, Arkan Ahmad. Load frequency control for two-area multi-source interconnected power system using intelligent controllers. Tikrit Journal of Engineering Sciences Vol. 25, no. 1 (2018), pp.78-86.
https://search.emarefa.net/detail/BIM-938939
American Medical Association (AMA)
Husayn, Arkan Ahmad. Load frequency control for two-area multi-source interconnected power system using intelligent controllers. Tikrit Journal of Engineering Sciences. 2018. Vol. 25, no. 1, pp.78-86.
https://search.emarefa.net/detail/BIM-938939
Data Type
Journal Articles
Language
English
Notes
Record ID
BIM-938939