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

J Olamaei,A H Mazinan,A Arefi,T Niknam

doi:10.1109/iccae.2010.5451699

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

J Olamaei, A H Mazinan + Show 2 more

https://doi.org/10.1109/iccae.2010.5451699

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Publication Date: Feb 1, 2010

Citations: 16

Affiliation: Islamic Azad University South Tehran Branch, Shiraz University of Technology

#Distribution Feeder Reconfiguration #Deviation Of Nodes Voltage + Show 8 more

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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.

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