2019/10/16 by Shammya Shananda Saha, Saha, Shammya Shananda, Eran Schweitzer +5
Computer Science · Engineering · Social Sciences · #Data Management and Algorithms #FOS: Electrical engineering #Geographic Information Systems Studies #Power Systems and Technologies #Systems and Control (eess.SY) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1910.07673
openalex publication_date 2019/10/16 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
This work proposes a framework to generate synthetic distribution feeders\nmapped to real geo-spatial topologies using available OpenStreetMap data. The\nsynthetic power networks can facilitate power systems research and development\nby providing thousands of realistic use cases. The location of substations is\ntaken from recent efforts to develop synthetic transmission test cases, with\nunderlying real and reactive power in the distribution network assigned using\npopulation information gathered from United States 2010 Census block data. The\nmethods illustrate how to create individual synthetic distribution feeders, and\ngroups of feeders across entire ZIP Code, with minimal input data for any\nlocation in the United States. The framework also has the capability to output\ndata in OpenDSS format to allow further simulation and analysis.\n