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

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. As a result, 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 drawbacksmore » of current distribution test feeders.« less

Authors:
 [1];  [1]; ORCiD logo [1]; ORCiD logo [2];  [2]; ORCiD logo [2];  [1];  [2]
+ Show Author Affiliations
  1. Comillas Pontifical Univ., Madrid (Spain)
  2. National Renewable Energy Lab. (NREL), Golden, CO (United States)
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Advanced Research Projects Agency - Energy (ARPA-E)
OSTI Identifier:
1411133
Report Number(s):
NREL/JA-5D00-70304
Journal ID: ISSN 1996-1073; ENERGA
Grant/Contract Number:  
AC36-08GO28308
Resource Type:
Accepted Manuscript
Journal Name:
Energies (Basel)
Additional Journal Information:
Journal Name: Energies (Basel); Journal Volume: 10; Journal Issue: 11; Journal ID: ISSN 1996-1073
Publisher:
MDPI AG
Country of Publication:
United States
Language:
English
Subject:
24 POWER TRANSMISSION AND DISTRIBUTION; distribution networks; review; state of the art; test feeders; representative networks; distributed energy resources; synthetic distribution test feeders

Citation Formats

Postigo Marcos, Fernando E., Domingo, Carlos Mateo, San Roman, Tomas Gomez, Palmintier, Bryan S., Hodge, Bri-Mathias, Krishnan, Venkat K., de Cuadra Garcia, Fernando, and Mather, Barry A.. A Review of Power Distribution Test Feeders in the United States and the Need for Synthetic Representative Networks. United States: N. p., 2017. Web. doi:10.3390/en10111896.
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Postigo Marcos, Fernando E., Domingo, Carlos Mateo, San Roman, Tomas Gomez, Palmintier, Bryan S., Hodge, Bri-Mathias, Krishnan, Venkat K., de Cuadra Garcia, Fernando, & Mather, Barry A.. A Review of Power Distribution Test Feeders in the United States and the Need for Synthetic Representative Networks. United States. https://doi.org/10.3390/en10111896
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Postigo Marcos, Fernando E., Domingo, Carlos Mateo, San Roman, Tomas Gomez, Palmintier, Bryan S., Hodge, Bri-Mathias, Krishnan, Venkat K., de Cuadra Garcia, Fernando, and Mather, Barry A.. Sat . "A Review of Power Distribution Test Feeders in the United States and the Need for Synthetic Representative Networks". United States. https://doi.org/10.3390/en10111896. https://www.osti.gov/servlets/purl/1411133.
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@article{osti_1411133,
title = {A Review of Power Distribution Test Feeders in the United States and the Need for Synthetic Representative Networks},
author = {Postigo Marcos, Fernando E. and Domingo, Carlos Mateo and San Roman, Tomas Gomez and Palmintier, Bryan S. and Hodge, Bri-Mathias and Krishnan, Venkat K. and de Cuadra Garcia, Fernando and Mather, Barry A.},
abstractNote = {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. As a result, 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.},
doi = {10.3390/en10111896},
journal = {Energies (Basel)},
number = 11,
volume = 10,
place = {United States},
year = {2017},
month = {11}
}
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https://doi.org/10.3390/en10111896
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    Works referencing / citing this record:

    Photovoltaic Power Converter Management in Unbalanced Low Voltage Networks with Ancillary Services Support
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    Optimized Integration of Electric Vehicles in Low Voltage Distribution Grids
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    A Decision-Making Tool for Electric Distribution Network Planning Based on Heuristics and Georeferenced Data
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    Sustainable Residential Energy Supply: A Literature Review-Based Morphological Analysis
    journal, January 2020

    • Arens, Stefan; Schlüters, Sunke; Hanke, Benedikt
    • Energies, Vol. 13, Issue 2
    • DOI: 10.3390/en13020432
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