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.

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

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