Clustering Distribution Feeders in the Arizona Public Service Territory

James Cale, Bryan Palmintier, Dave Narang, Kevin Carroll

Research output: Contribution to conferencePaperpeer-review

18 Scopus Citations


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.

Original languageAmerican English
Number of pages6
StatePublished - 2014
Event40th IEEE Photovoltaic Specialist Conference, PVSC 2014 - Denver, United States
Duration: 8 Jun 201413 Jun 2014


Conference40th IEEE Photovoltaic Specialist Conference, PVSC 2014
Country/TerritoryUnited States

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

NREL Publication Number

  • NREL/CP-5D00-63534


  • clustering
  • k-means
  • k-mediods
  • principle components analysis


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