A hybrid evolutionary algorithm based on ACO and SA for distribution feeder reconfiguration

Olamaei, J., Mazinan, A. H., Arefi, Ali, & Niknam, T. (2010) A hybrid evolutionary algorithm based on ACO and SA for distribution feeder reconfiguration. In Proceedings of the 2nd International Conference on Computer and Automation Engineering (ICCAE 2010), IEEE, Singapore, pp. 265-269.

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This paper deals with an efficient hybrid evolutionary optimization algorithm in accordance with combining the ant colony optimization (ACO) and the simulated annealing (SA), so called ACO-SA. The distribution feeder reconfiguration (DFR) is known as one of the most important control schemes in the distribution networks, which can be affected by distributed generations (DGs) for the multi-objective DFR. In such a case, DGs is used to minimize the real power loss, the deviation of nodes voltage and the number of switching operations. The approach is carried out on a real distribution feeder, where the simulation results show that the proposed evolutionary optimization algorithm is robust and suitable for solving the DFR problem.

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6 citations in Scopus
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ID Code: 68760
Item Type: Conference Paper
Refereed: No
Keywords: Distribution feeder reconfiguration, Distributed generation, Ant colony optimization, Simulated annealing
DOI: 10.1109/ICCAE.2010.5451699
ISBN: 9781424455850
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Deposited On: 18 Mar 2014 23:11
Last Modified: 04 Dec 2015 02:36

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