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    Chronological categorization and decomposition of customer loads

    Access Status
    Fulltext not available
    Authors
    Nourbakhsh, G.
    Eden, G.
    McVeigh, D.
    Ghosh, Arindam
    Date
    2012
    Type
    Journal Article
    
    Metadata
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    Citation
    Nourbakhsh, G. and Eden, G. and McVeigh, D. and Ghosh, A. 2012. Chronological categorization and decomposition of customer loads. IEEE Transactions on Power Delivery. 27 (4): pp. 2270-2277.
    Source Title
    IEEE Transactions on Power Delivery
    ISSN
    08858977
    URI
    http://hdl.handle.net/20.500.11937/40292
    Collection
    • Curtin Research Publications
    Abstract

    The majority of distribution utilities do not have accurate information on the constituents of their loads. This information is very useful in managing and planning the network, adequately and economically. Customer loads are normally categorized in three main sectors: 1) residential; 2) industrial; and3) commercial. In this paper, penalized least-squares regression and Euclidean distance methods are developed for this application to identify and quantify the makeup of a feeder load with unknown sectors/subsectors. This process is done on a monthly basis to account for seasonal and other load changes. The error between the actual and estimated load profiles are used as a benchmark of accuracy. This approach has shown to be accurate in identifying customer types in unknown load profiles, and is used in cross-validation of the results and initial assumptions.

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