Implementacija algoritma kolonije mrava za optimalnu rekonfiguraciju distributivne mreže | Zendy

Predrag Mršić | Zendy; Nikola Rajaković | Zendy

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Implementacija algoritma kolonije mrava za optimalnu rekonfiguraciju distributivne mreže

Author(s) -

Predrag Mršić,

Nikola Rajaković

Publication year - 2020

Publication title -

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.

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