Automatic generation control of a multi-area power system based on grey wolf optimization algorithm
Joint Authors
Miri, Abbas H.
al-Anbari, Qasim A.
Jabir, Husayn H.
Source
Journal of Engineering and Sustainable Development
Issue
Vol. 25, Issue (s) (31 Dec. 2021), pp.138-151, 14 p.
Publisher
al-Mustansyriah University College of Engineering
Publication Date
2021-12-31
Country of Publication
Iraq
No. of Pages
14
Main Subjects
Topics
Abstract EN
This paper presents an automatic generation control algorithm applicable for a multi-area power system.
A more practical models is used to represent the main components of the power system.
The frequency bias factor (B) is set optimally by using an artificial intelligence technique.
The generation rate constraints (GRC) are taken into consideration with dead band characteristics of the governor.
For the first time, a sequential optimization of the fractional order (PID) control parameters, the governor speed regulation (R) and the frequency bias factor (B) is proposed.
The objective function to be minimized is the updated integral time olute error (UITAE).
The tuning of the control parameters is dependent on minimizing the objective function by using the Grey wolf optimization (GWO) algorithm.
The proposed algorithm is tested on an interconnected three power pools different system (Reheat, Gas and Hydro) with varying degrees of load step change.
The simulation results of the presented process are compared to those achieved by using the particle swarm optimization method.
The results obtained reveal the robustness of the proposed algorithm in terms of settling time and peak overshoot.
American Psychological Association (APA)
Jabir, Husayn H.& Miri, Abbas H.& al-Anbari, Qasim A.. 2021. Automatic generation control of a multi-area power system based on grey wolf optimization algorithm. Journal of Engineering and Sustainable Development،Vol. 25, no. (s), pp.138-151.
https://search.emarefa.net/detail/BIM-1273095
Modern Language Association (MLA)
Jabir, Husayn H.…[et al.]. Automatic generation control of a multi-area power system based on grey wolf optimization algorithm. Journal of Engineering and Sustainable Development Vol. 25, Special issue (2021), pp.138-151.
https://search.emarefa.net/detail/BIM-1273095
American Medical Association (AMA)
Jabir, Husayn H.& Miri, Abbas H.& al-Anbari, Qasim A.. Automatic generation control of a multi-area power system based on grey wolf optimization algorithm. Journal of Engineering and Sustainable Development. 2021. Vol. 25, no. (s), pp.138-151.
https://search.emarefa.net/detail/BIM-1273095
Data Type
Journal Articles
Language
English
Notes
-
Record ID
BIM-1273095