Open AccessImplementacija algoritma kolonije mrava za optimalnu rekonfiguraciju distributivne mreže
Author(s) -
Nikola Rajaković
Publication year - 2020
Publication title -
energija/energija, ekonomija, ekologija
Language(s) - English
Resource type - Journals
eISSN - 2812-7528
pISSN - 0354-8651
DOI - 10.46793/eee20-1-2.050m
Subject(s) - ant colony optimization algorithms , computer science , heuristic , ant colony , meta heuristic , mathematical optimization , control reconfiguration , algorithm , mathematics , artificial intelligence , embedded system
The paper analyzes the possibility of application of Ant Colony Optimization (ACO) algorithm for reconfiguration of distribution network with the aim of active power minimiza- tion. ACO is a population-based meta-heuristic technique used to solve different combinatorial optimization problems. The search technique is inspired by the behaviour of ant colonies in nature. The efficiency of the proposed algorithm is demonstrated on IEEE 33-bus and IEEE 69-bus test distribution systems. Also, the results obtained by using ACO algorithm are compared to the results achievable by other heuristic and meta-heuristic algorithms.