Conference paper
A hybrid evolutionary algorithm based on ACO and SA for distribution feeder reconfiguration
2010 The 2nd International Conference on Computer and Automation Engineering (ICCAE), pp.265-269
IEEE
2010 The 2nd International Conference on Computer and Automation Engineering (ICCAE) (Singapore, Singapore, 26/02/2010–28/02/2010)
2010
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.
Details
- Title
- A hybrid evolutionary algorithm based on ACO and SA for distribution feeder reconfiguration
- Authors/Creators
- J. Olamaei (Author/Creator)A. Arefi (Author/Creator)A.H. Mazinan (Author/Creator)T. Niknam (Author/Creator)
- Publication Details
- 2010 The 2nd International Conference on Computer and Automation Engineering (ICCAE), pp.265-269
- Conference
- 2010 The 2nd International Conference on Computer and Automation Engineering (ICCAE) (Singapore, Singapore, 26/02/2010–28/02/2010)
- Publisher
- IEEE
- Identifiers
- 991005541855607891
- Copyright
- © 2010 IEEE
- Murdoch Affiliation
- Murdoch University
- Language
- English
- Resource Type
- Conference paper
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