A hybrid evolutionary algorithm based on ACO and SA for distribution feeder reconfiguration
Data(s) |
2010
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Resumo |
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. |
Identificador | |
Publicador |
IEEE |
Relação |
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5451699 DOI:10.1109/ICCAE.2010.5451699 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. |
Fonte |
School of Electrical Engineering & Computer Science; Science & Engineering Faculty |
Palavras-Chave | #Distribution feeder reconfiguration #Distributed generation #Ant colony optimization #Simulated annealing |
Tipo |
Conference Paper |