%0 Journal Article
%T Ant Lion Optimization Approach for Load Frequency Control of Multi-Area Interconnected Power Systems
%A R. Satheeshkumar
%A R. Shivakumar
%J Circuits and Systems
%P 2357-2383
%@ 2153-1293
%D 2016
%I Scientific Research Publishing
%R 10.4236/cs.2016.79206
%X This work proposes a novel
nature-inspired algorithm called Ant Lion Optimizer (ALO). The ALO algorithm
mimics the search mechanism of antlions in nature. A time domain based
objective function is established to tune the parameters of the PI controller
based LFC, which is solved by the proposed ALO algorithm to reach the most
convenient solutions. A three-area interconnected power system is investigated
as a test system under various loading conditions to confirm the effectiveness
of the suggested algorithm. Simulation results are given to show the enhanced
performance of the developed ALO algorithm based controllers in comparison with
Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Bat Algorithm (BAT)
and conventional PI controller. These results represent that the proposed BAT
algorithm tuned PI controller offers better performance over other soft computing
algorithms in conditions of settling times and several performance indices.
%K Load Frequency Control (LFC)
%K Multi-Area Power System
%K Proportional-Integral (PI) Controller
%K Ant Lion Optimization (ALO)
%K Bat Algorithm (BAT)
%K Genetic Algorithm (GA)
%K Particle Swarm Optimization (PSO)
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=68630