A Framework for Generating Synthetic Distribution Feeders using OpenStreetMap

Shammya Shananda Saha, Eran Schweitzer, Anna Scaglione, Nathan G. Johnson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Scopus citations


This work proposes a framework to generate synthetic distribution feeders mapped to real geo-spatial topologies using available OpenStreetMap data. The synthetic power networks can facilitate power systems research and development by providing thousands of realistic use cases. The location of substations is taken from recent efforts to develop synthetic transmission test cases, with underlying real and reactive power in the distribution network assigned using population information gathered from United States 2010 Census block data. The methods illustrate how to create individual synthetic distribution feeders, and groups of feeders across entire ZIP Code, with minimal input data for any location in the United States. The framework also has the capability to output data in OpenDSS format to allow further simulation and analysis.

Original languageEnglish (US)
Title of host publication51st North American Power Symposium, NAPS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728104072
StatePublished - Oct 2019
Externally publishedYes
Event51st North American Power Symposium, NAPS 2019 - Wichita, United States
Duration: Oct 13 2019Oct 15 2019

Publication series

Name51st North American Power Symposium, NAPS 2019


Conference51st North American Power Symposium, NAPS 2019
Country/TerritoryUnited States


  • census
  • distribution network
  • OpenStreetMap
  • synthetic network
  • ZIP Code

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality


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