Open Access
ARTICLE
Optimal Tuning for Load Frequency Control Using Ant Lion Algorithm in Multi‐Area Interconnected Power System
Nour EL Yakine Koubaa, Mohamed Menaaa, Kambiz Tehranib, Mohamed Boudoura
a Laboratory of Electrical and Industrial Systems, University of Science and Technology Houari Boumediene, Algiers, Algeria.
b Ecole Supérieure d’ingénieurs, ESIGELEC, Technopole du Madrillet, Rouen, France.
* Corresponding Author: Nour EL Yakine Kouba,
Intelligent Automation & Soft Computing 2019, 25(2), 279-294. https://doi.org/10.31209/2018.100000007
Abstract
This paper presents the use of a novel nature inspired meta-heuristic algorithm
namely Ant Lion Optimizer (ALO), which is inspired from the ant lions hunting
mechanism to enhance the frequency regulation and optimize the load
frequency control (LFC) loop parameters. The frequency regulation issue was
formulated as an optimal load frequency control problem (OLFC). The proposed
ALO algorithm was applied to reach the best combination of the PID controller
parameters in each control area to achieve both frequency and tie-line power
flow exchange deviations minimization. The control strategy has been tested
firstly with the standard two-area power system, followed by the IEEE threearea Western System Coordinating Council (WSCC) and, lastly, with the large
three-area South-Western part of the Mediterranean interconnected power
system (SWM): Tunisia, Algeria and Morocco. The dynamic performances of the
test systems are compared to other approaches available in literature. The
simulation results of this research show that ALO algorithm is able to solve LFC
problem and achieve less frequency and tie-line power flow deviations than
those determined by other methods used in this paper.
Keywords
Cite This Article
APA Style
Kouba, N.E.Y., Menaa, M., Tehrani, K., Boudour, M. (2019). Optimal tuning for load frequency control using ant lion algorithm in multi‐area interconnected power system. Intelligent Automation & Soft Computing, 25(2), 279-294. https://doi.org/10.31209/2018.100000007
Vancouver Style
Kouba NEY, Menaa M, Tehrani K, Boudour M. Optimal tuning for load frequency control using ant lion algorithm in multi‐area interconnected power system. Intell Automat Soft Comput . 2019;25(2):279-294 https://doi.org/10.31209/2018.100000007
IEEE Style
N.E.Y. Kouba, M. Menaa, K. Tehrani, and M. Boudour "Optimal Tuning for Load Frequency Control Using Ant Lion Algorithm in Multi‐Area Interconnected Power System," Intell. Automat. Soft Comput. , vol. 25, no. 2, pp. 279-294. 2019. https://doi.org/10.31209/2018.100000007