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An improved genetic algorithm and graph theory based method for optimal sectionalizer switch placement in distribution networks with DG

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4 Author(s)
Arash Vahidnia ; School of Engineering Systems, Queensland University of Technology, Brisbane, Australia ; Gerard Ledwich ; Arindam Ghosh ; Edward Palmer

In this paper a new graph-theory and improved genetic algorithm based practical method is employed to solve the optimal sectionalizer switch placement problem. The proposed method determines the best locations of sectionalizer switching devices in distribution networks considering the effects of presence of distributed generation (DG) in fitness functions and other optimization constraints, providing the maximum number of costumers to be supplied by distributed generation sources in islanded distribution systems after possible faults. The proposed method is simulated and tested on several distribution test systems in both cases of with DG and non DG situations. The results of the simulations validate the proposed method for switch placement of the distribution network in the presence of distributed generation.

Published in:

Universities Power Engineering Conference (AUPEC), 2011 21st Australasian

Date of Conference:

25-28 Sept. 2011