• DocumentCode
    603613
  • Title

    Identifying substations serving majority domestic/residential users

  • Author

    Matshalaga, D.T. ; van Harmelen, G.

  • Author_Institution
    Demand Intell., Enerweb, Johannesburg, South Africa
  • fYear
    2013
  • fDate
    3-4 April 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    A substation feeds many types of customers. These customers can be split into Domestic/Residential and “other” consumers. These consumers have generalized load profiles. If one can identify the prominent load profile of a substation, one can identify the bulk consumer in the mixed load profile of the given substation. In this paper an automated method to group substation by its bulk consumer type is proposed and investigated. The automated method uses a Complete Agglomerative Hierarchical Clustering. The overall municipal load profile is used as an exemplary load profile for a large count of aggregated Domestic consumers. Results of this method are checked to validate the results and conclusions made.
  • Keywords
    substations; aggregated domestic consumers; bulk consumer type; complete agglomerative hierarchical clustering; domestic-residential user; exemplary load profile; mixed load profile; municipal load profile; substation identification; Correlation; Elbow; Electricity; Geospatial analysis; Matrix converters; Shape; Substations; “Other”; Clustering; Domestic; Load Profile; Residential;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Domestic Use of Energy Conference (DUE), 2013 Proceedings of the 21st
  • Conference_Location
    Cape Town
  • Print_ISBN
    978-1-4799-0050-3
  • Type

    conf

  • Filename
    6524786