• DocumentCode
    121988
  • Title

    Clustering distribution feeders in the Arizona Public Service territory

  • Author

    Cale, James ; Palmintier, Bryan ; Narang, David ; Carroll, Kevin

  • Author_Institution
    Nat. Renewable Energy Lab., Golden, CO, USA
  • fYear
    2014
  • fDate
    8-13 June 2014
  • Firstpage
    2076
  • Lastpage
    2081
  • Abstract
    This paper describes a methodology and approach used to perform clustering on distribution feeders within the service territory of Arizona Public Service (APS). This clustering process was performed in order for APS to characterize the types of feeders in their service territory and to provide a method of feeder classification to inform PV interconnection requirements in the future. The paper begins with a description of the history of clustering techniques for classifying distribution feeders. The method chosen for clustering APS feeders incorporates best practices for the clustering algorithm, stopping criteria, and variable selection. All routines were written in open-source scripting languages. Specific steps in the clustering process are described and applied to the feeders in the APS service territory showing results for each step. The paper concludes with a summary of the work.
  • Keywords
    distribution networks; pattern clustering; clustering distribution feeders; clustering techniques; feeder classification; open source scripting languages; service territory; Algorithm design and analysis; Clustering algorithms; Covariance matrices; Eigenvalues and eigenfunctions; Partitioning algorithms; Principal component analysis; Vectors; clustering; k-means; k-mediods; principle components analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Photovoltaic Specialist Conference (PVSC), 2014 IEEE 40th
  • Conference_Location
    Denver, CO
  • Type

    conf

  • DOI
    10.1109/PVSC.2014.6925335
  • Filename
    6925335