- International Journal of Engineering and Applied Sciences
- Volume:6 Issue:2
- APPLICATION OF ANT COLONY OPTIMIZATION (ACO) FOR DESIGNING A HYBRID SYSTEM
APPLICATION OF ANT COLONY OPTIMIZATION (ACO) FOR DESIGNING A HYBRID SYSTEM
Authors : Alireza ASKARZADEH
Pages : 52-63
Doi:10.24107/ijeas.251221
View : 24 | Download : 6
Publication Date : 2014-06-01
Article Type : Research Paper
Abstract :Inspired by the behavior of ants seeking the shortest path between their nest and a food source, ant colony optimization insert ignore into journalissuearticles values(ACO); is the most popular technique to effectively solve combinatorial optimization problems. Combinatorial optimization is a branch of optimization which is concerned with the optimization of functions with discrete decision variables. Finding optimum size of a PV/wind/battery hybrid system belongs to combinatorial optimization problems with the aim of determining three discrete decision variables, namely, number of PV panels, wind turbines and batteries. This paper proposes ACO to optimally size a PV/wind/battery hybrid system for having a reliable system. In order to evaluate the effectiveness of the proposed methodology, ACO performance is compared with that of two other well-known metaheuristic algorithms, namely, harmony search insert ignore into journalissuearticles values(HS); and particle swarm optimization insert ignore into journalissuearticles values(PSO);. It is observed that ACO yields more promising results than the other studied methodologiesKeywords : hybrid system, optimum sizing, combinatorial optimization, ant colony optimization
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