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

    Access Status
    Fulltext not available
    Authors
    Vahidnia, A.
    Ledwich, G.
    Ghosh, Arindam
    Palmer, E.
    Date
    2011
    Type
    Conference Paper
    
    Metadata
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    Citation
    Vahidnia, A. and Ledwich, G. and Ghosh, A. and Palmer, E. 2011. An improved genetic algorithm and graph theory based method for optimal sectionalizer switch placement in distribution networks with DG, in - (ed), 2011 21st Australasian Universities Power Engineering Conference, Sep 25 2011. Brisbane: Institute of Electrical and Electronics Engineers ( IEEE ).
    Source Title
    2011 21st Australasian Universities Power Engineering Conference (AUPEC 2011)
    Source Conference
    2011 21st Australasian Universities Power Engineering Conference
    ISBN
    978-1-4577-1793-2
    URI
    http://hdl.handle.net/20.500.11937/38295
    Collection
    • Curtin Research Publications
    Abstract

    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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