An improved genetic algorithm and graph theory based method for optimal sectionalizer switch placement in distribution networks with DG
Vahidnia, Arash, Ledwich, Gerard, Ghosh, Arindam, & Palmer, Edward (2011) An improved genetic algorithm and graph theory based method for optimal sectionalizer switch placement in distribution networks with DG. In Ledwich, Gerard & Ghosh, Arindam (Eds.) Proceedings of AUPEC 2011: Integrating Renewables into the Grid, AUPEC/IEEE , Queensland University of Technology, Brisbane, QLD, pp. 1-7. (In Press)
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.
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|Item Type:||Conference Paper|
|Additional Information:||All the presented papers will be made available in the IEEE Xplore Digital Library|
|Keywords:||Distributed Generation (DG), Distribution Networks, Genetic Algorithm (GA), Reliability, Spanning Tree|
|Subjects:||Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Power and Energy Systems Engineering (excl. Renewable Power) (090607)|
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering|
Past > Schools > School of Engineering Systems
|Copyright Owner:||Copyright 2011 AIPEC/IEEE|
|Deposited On:||31 Oct 2011 09:02|
|Last Modified:||19 Jan 2012 23:00|
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