@Article{2018.100000007,
AUTHOR = {Nour EL Yakine Kouba, Mohamed Menaa, Kambiz Tehrani, Mohamed Boudour},
TITLE = {Optimal Tuning for Load Frequency Control Using Ant Lion Algorithm in Multi‐Area Interconnected Power System},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {25},
YEAR = {2019},
NUMBER = {2},
PAGES = {279--294},
URL = {http://www.techscience.com/iasc/v25n2/39652},
ISSN = {2326-005X},
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.},
DOI = {10.31209/2018.100000007}
}