Experiences Developing Large-Scale Synthetic U.S.-Style Distribution Test Systems

Bryan Palmintier, Tarek Elgindy, Carlos Mateo, Fernando Postigo, Tomas Gomez, Fernando de Cuadra, Pablo Martinez

Research output: Contribution to conferencePaper

17 Scopus Citations

Abstract

This paper describes computational, data management, and other experiences developing large-scale, realistic-but-not-real U.S.-style distribution test systems for the Smart-DS project. These test systems cover entire metropolitan areas and include everything from low-voltage secondaries to sub-transmission for hundreds or thousands of feeders making them as much as three orders of magnitude larger than existing single feeder test systems. Lessons learned with automation and data handling are shared to aid data set users and synthetic test grid creators.
Original languageAmerican English
Number of pages8
DOIs
StatePublished - 2020
Event21st Power Systems Computation Conference (PSCC) -
Duration: 29 Jun 20203 Jul 2020

Conference

Conference21st Power Systems Computation Conference (PSCC)
Period29/06/203/07/20

Bibliographical note

Papers presented at the Power Systems Computation Conference (PSCC) can be accessed as open-source material through the PSCC website: https://pscc-central.epfl.ch/papers-repo; See NREL/JA-5D00-79400 for related journal article

NREL Publication Number

  • NREL/CP-5C00-74259

Keywords

  • power distribution
  • power systems planning
  • Reference Network Model
  • synthetic networks
  • test systems

Fingerprint

Dive into the research topics of 'Experiences Developing Large-Scale Synthetic U.S.-Style Distribution Test Systems'. Together they form a unique fingerprint.

Cite this