A novel hybrid evolutionary algorithm based on ACO and SA for distribution feeder reconfiguration with regard to DGs

Olamei, J., Niknam, T., Arefi, Ali, & Mazinan, A. H. (2011) A novel hybrid evolutionary algorithm based on ACO and SA for distribution feeder reconfiguration with regard to DGs. In Proceedings of the 2011 IEEE GCC Conference and Exhibition (GCC), IEEE, Dubai, pp. 259-262.

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Abstract

This paper presents an efficient hybrid evolutionary optimization algorithm based on combining Ant Colony Optimization (ACO) and Simulated Annealing (SA), called ACO-SA, for distribution feeder reconfiguration (DFR) considering Distributed Generators (DGs). Due to private ownership of DGs, a cost based compensation method is used to encourage DGs in active and reactive power generation. The objective function is summation of electrical energy generated by DGs and substation bus (main bus) in the next day. The approach is tested on a real distribution feeder. The simulation results show that the proposed evolutionary optimization algorithm is robust and suitable for solving DFR problem.

Impact and interest:

3 citations in Scopus
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ID Code: 68752
Item Type: Conference Paper
Refereed: Yes
Keywords: Distribution feeder reconfiguration, Distributed generation, Ant colony optimization, Simulated annealing
DOI: 10.1109/IEEEGCC.2011.5752495
ISBN: 9781612841182
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2011 IEEE
Deposited On: 19 Mar 2014 00:26
Last Modified: 04 Dec 2015 02:35

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