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.
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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|Item Type:||Conference Paper|
|Keywords:||Distribution feeder reconfiguration, Distributed generation, Ant colony optimization, Simulated annealing|
|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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