Cited by 106Optimal Power Flow DistributionSmart Grid and Power SystemsPower System Optimization and Stability

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A Review of Power Distribution Test Feeders in the United States and the Need for Synthetic Representative Networks

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Postigo Marcos, Fernando, Mateo Domingo, Carlos, Gómez San Román, Tomás, Palmintier, Bryan, Hodge, Bri-Mathias, Krishnan, Venkat, De Cuadra García, Fernando, Mather, Barry·2017·Energies

DOI 10.3390/en10111896

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Abstract

Under the increasing penetration of distributed energy resources and new smart network technologies, distribution utilities face new challenges and opportunities to ensure reliable operations, manage service quality, and reduce operational and investment costs. Simultaneously, the research community is developing algorithms for advanced controls and distribution automation that can help to address some of these challenges. However, there is a shortage of realistic test systems that are publically available for development, testing, and evaluation of such new algorithms. Concerns around revealing critical infrastructure details and customer privacy have severely limited the number of actual networks published and that are available for testing. In recent decades, several distribution test feeders and US-featured representative networks have been published, but the scale, complexity, and control data vary widely. This paper presents a first-of-a-kind structured literature review of published distribution test networks with a special emphasis on classifying their main characteristics and identifying the types of studies for which they have been used. This both aids researchers in choosing suitable test networks for their needs and highlights the opportunities and directions for further test system development. In particular, we highlight the need for building large-scale synthetic networks to overcome the identified drawbacks of current distribution test feeders.

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Authors: Postigo Marcos, F., Mateo Domingo, C., Gómez San Román, T., Palmintier, B., Hodge, B.-M., Krishnan, V., De Cuadra García, F., & Mather, B.
Affiliations: Institute for Research in Technology (IIT), Comillas Pontifical University, Madrid 28015, Spain
National Laboratory of the Rockies (US)
ORCID: Postigo Marcos, Fernando
Gómez San Román, Tomás
Palmintier, Bryan
Hodge, Bri-Mathias
Krishnan, Venkat
Mather, Barry
Venue: Energies
Publisher: MDPI AG
Published: 2017-11-18
Volume: 10
Issue: 11
Pages: 1896
ISSN: 1996-1073 (ISSN-L)
DOI: 10.3390/en10111896
OpenAlex: W2768772793
Cited by: 106
References: 53
Citations by year: 2026: 5 · 2025: 8 · 2024: 7 · 2023: 14 · 2022: 24 · 2021: 19 · 2020: 18 · 2019: 9 · 2018: 2
FWCI: 3.30
Type: journal article
Language: en
Open access: gold
doi.org
Licence: cc-by
creativecommons.org/licenses/by/4.0/ (vor)
Locations: Energies (publishedVersion, cc-by)
OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
CU Scholar (University of Colorado Boulder) (submittedVersion, cc-by)
RePEc: Research Papers in Economics (submittedVersion)
DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders: U.S. Department of Energy (DE-AC36-08GO28308)
Topics: Physical Sciences › Engineering › Electrical and Electronic Engineering › Optimal Power Flow Distribution
Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid and Power Systems
Physical Sciences › Engineering › Electrical and Electronic Engineering › Power System Optimization and Stability
Keywords: distribution networks, test system design, distributed energy resources, distribution automation, control data, network classification, distribution utilities

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A Review of Power Distribution Test Feeders in the United States and the Need for Synthetic Representative Networks

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