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

Husayn, Arkan Ahmad

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

Civil Engineering

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