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

doi:10.1016/j.epsr.2020.106665

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

Energy Security, Resilience and Integration

Comillas Pontifical University
Massachusetts Institute of Technology

Research output: Contribution to conference › Paper

21 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 language	American English
Number of pages	8
DOIs	https://doi.org/10.1016/j.epsr.2020.106665
State	Published - 2020
Event	21st Power Systems Computation Conference (PSCC) - Duration: 29 Jun 2020 → 3 Jul 2020

Conference

Conference	21st Power Systems Computation Conference (PSCC)
Period	29/06/20 → 3/07/20

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

NLR Publication Number

NREL/CP-5C00-74259

Keywords

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

Access to Document

10.1016/j.epsr.2020.106665

https://pscc-central.epfl.ch/repo/papers/2020/501.pdf

Cite this

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title = "Experiences Developing Large-Scale Synthetic U.S.-Style Distribution Test Systems",

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.",

keywords = "power distribution, power systems planning, Reference Network Model, synthetic networks, test systems",

author = "Bryan Palmintier and Tarek Elgindy and Carlos Mateo and Fernando Postigo and Tomas Gomez and \{de Cuadra\}, Fernando and Pablo Martinez",

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; 21st Power Systems Computation Conference (PSCC) ; Conference date: 29-06-2020 Through 03-07-2020",

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doi = "10.1016/j.epsr.2020.106665",

language = "American English",

}

TY - CONF

T1 - Experiences Developing Large-Scale Synthetic U.S.-Style Distribution Test Systems

AU - Palmintier, Bryan

AU - Elgindy, Tarek

AU - Mateo, Carlos

AU - Postigo, Fernando

AU - Gomez, Tomas

AU - de Cuadra, Fernando

AU - Martinez, Pablo

N1 - 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

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - power distribution

KW - power systems planning

KW - Reference Network Model

KW - synthetic networks

KW - test systems

U2 - 10.1016/j.epsr.2020.106665

DO - 10.1016/j.epsr.2020.106665

M3 - Paper

T2 - 21st Power Systems Computation Conference (PSCC)

Y2 - 29 June 2020 through 3 July 2020

ER -

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

Abstract

Conference

Bibliographical note

NLR Publication Number

Keywords

Access to Document

Fingerprint

Cite this