A Framework for Generating Synthetic Distribution Feeders using OpenStreetMap
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Abstract (arXiv)
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.
Key facts. Cited by 3 papers in the map (data through 13 Oct 2026). First posted on arXiv 17 Oct 2019.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 0; 2024: 0; 2025: 0; 2026: 2.
3 papers.
- 2021Synthetic Active Distribution System Generation via Unbalanced Graph Generative Adversarial Networkcited by 2
- 2026Operationally Feasible Synthetic Power-Grid Scenarios via Learning the AC-Operable Joint Distributioncited by 0
- 2026Mycelium: A Generalizable Cross-Grid Multi-Task Model for Electrical Distribution Systemscited by 0
- 2026Mycelium: A Generalizable Cross-Grid Multi-Task Model for Electrical Distribution Systems27 Sep 2026
- 2026Operationally Feasible Synthetic Power-Grid Scenarios via Learning the AC-Operable Joint Distribution4 Aug 2026
- 2021Synthetic Active Distribution System Generation via Unbalanced Graph Generative Adversarial Network2 Aug 2021