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Ant Lion Optimization Approach for Load Frequency Control of Multi-Area Interconnected Power Systems

DOI: 10.4236/cs.2016.79206, PP. 2357-2383

Keywords: Load Frequency Control (LFC), Multi-Area Power System, Proportional-Integral (PI) Controller, Ant Lion Optimization (ALO), Bat Algorithm (BAT), Genetic Algorithm (GA), Particle Swarm Optimization (PSO)

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Abstract:

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.

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