Nour EL Yakine Koubaa, Mohamed Menaaa, Kambiz Tehranib, Mohamed Boudoura
Intelligent Automation & Soft Computing, Vol.25, No.2, pp. 279-294, 2019, DOI: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 More >
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