Catalog Home Page

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

Olamaei, J., Arefi, A.ORCID: 0000-0001-9642-7639, Mazinan, A.H. and Niknam, T. (2010) A hybrid evolutionary algorithm based on ACO and SA for distribution feeder reconfiguration. In: 2010 The 2nd International Conference on Computer and Automation Engineering (ICCAE), 26 - 28 February, Singapore, Singapore pp. 265-269.

Link to Published Version: https://doi.org/10.1109/ICCAE.2010.5451699
*Subscription may be required

Abstract

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.

Item Type: Conference Paper
Publisher: IEEE
Copyright: © 2010 IEEE
URI: http://researchrepository.murdoch.edu.au/id/eprint/53309
Item Control Page Item Control Page