@inproceedings{011eee159a234072a86de7c198a7d257,
title = "A Framework for Generating Synthetic Distribution Feeders using OpenStreetMap",
abstract = "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.",
keywords = "census, distribution network, OpenStreetMap, synthetic network, ZIP Code",
author = "Saha, {Shammya Shananda} and Eran Schweitzer and Anna Scaglione and Johnson, {Nathan G.}",
year = "2019",
month = oct,
doi = "10.1109/NAPS46351.2019.9000187",
language = "English (US)",
series = "51st North American Power Symposium, NAPS 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "51st North American Power Symposium, NAPS 2019",
note = "51st North American Power Symposium, NAPS 2019 ; Conference date: 13-10-2019 Through 15-10-2019",
}