skip to main content
DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

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]
  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. https://doi.org/10.3390/en10111896.
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
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.
@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}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record

Save / Share:

Works referenced in this record:

Optimal Distribution Network Design Using Genetic Algorithms
journal, March 2005


Power Management of Inverter Interfaced Autonomous Microgrid Based on Virtual Frequency-Voltage Frame
journal, March 2011


An Islanding Detection Method for Distributed Generations Using Voltage Unbalance and Total Harmonic Distortion of Current
journal, April 2004


Integral Planning of Primary–Secondary Distribution Systems Using Mixed Integer Linear Programming
journal, May 2005

  • Paiva, P. C.; Khodr, H. M.; Dominguez-Navarro, J. A.
  • IEEE Transactions on Power Systems, Vol. 20, Issue 2
  • DOI: 10.1109/TPWRS.2005.846108

Evaluating Distributed Generation Impacts With a Multiobjective Index
journal, July 2006

  • Ochoa, L. F.; Padilha-Feltrin, A.; Harrison, G. P.
  • IEEE Transactions on Power Delivery, Vol. 21, Issue 3
  • DOI: 10.1109/TPWRD.2005.860262

Distributed Optimal Power Flow for Smart Microgrids
journal, September 2013

  • Dall'Anese, Emiliano; Zhu, Hao; Giannakis, Georgios B.
  • IEEE Transactions on Smart Grid, Vol. 4, Issue 3, p. 1464-1475
  • DOI: 10.1109/TSG.2013.2248175

Optimal Planning of Communication System of CPS for Distribution Network
journal, January 2017


Steady-State Analysis of Maximum Photovoltaic Penetration Levels on Typical Distribution Feeders
journal, April 2013

  • Hoke, Anderson; Butler, Rebecca; Hambrick, Joshua
  • IEEE Transactions on Sustainable Energy, Vol. 4, Issue 2
  • DOI: 10.1109/TSTE.2012.2225115

Multi-State Load Models for Distribution System Analysis
journal, November 2011

  • Schneider, Kevin P.; Fuller, Jason C.; Chassin, David P.
  • IEEE Transactions on Power Systems, Vol. 26, Issue 4
  • DOI: 10.1109/TPWRS.2011.2132154

Assessment of Energy Distribution Losses for Increasing Penetration of Distributed Generation
journal, May 2006

  • MendezQuezada, V. H.; RivierAbbad, J.; GomezSanRoman, T.
  • IEEE Transactions on Power Systems, Vol. 21, Issue 2
  • DOI: 10.1109/TPWRS.2006.873115

Distributed Volt/VAr Control by PV Inverters
journal, August 2013

  • Jahangiri, Pedram; Aliprantis, Dionysios C.
  • IEEE Transactions on Power Systems, Vol. 28, Issue 3
  • DOI: 10.1109/TPWRS.2013.2256375

Distribution System Analysis and the Future Smart Grid
journal, November 2011

  • Arritt, Robert F.; Dugan, Roger C.
  • IEEE Transactions on Industry Applications, Vol. 47, Issue 6
  • DOI: 10.1109/TIA.2011.2168932

Optimal integrated planning of MV–LV distribution systems using DPSO
journal, October 2011


Active Management of Distributed Energy Resources Using Standardized Communications and Modern Information Technologies
journal, October 2009

  • Timbus, A.; Larsson, M.; Yuen, C.
  • IEEE Transactions on Industrial Electronics, Vol. 56, Issue 10
  • DOI: 10.1109/TIE.2009.2017123

Planning process for distribution grids based on flexibly generated time series considering RES, DSM and storages
journal, November 2016

  • Kays, Jan; Rehtanz, Christian
  • IET Generation, Transmission & Distribution, Vol. 10, Issue 14
  • DOI: 10.1049/iet-gtd.2015.0825

Optimal Distribution System Horizon Planning–Part I: Formulation
journal, May 2007


A Review of Agent and Service-Oriented Concepts Applied to Intelligent Energy Systems
journal, August 2014

  • Vrba, Pavel; Marik, Vladimir; Siano, Pierluigi
  • IEEE Transactions on Industrial Informatics, Vol. 10, Issue 3
  • DOI: 10.1109/TII.2014.2326411

Analytic Considerations and Design Basis for the IEEE Distribution Test Feeders
journal, May 2018

  • Schneider, K. P.; Mather, B. A.; Pal, B. C.
  • IEEE Transactions on Power Systems, Vol. 33, Issue 3
  • DOI: 10.1109/TPWRS.2017.2760011

The impact of vehicle-to-grid on the distribution grid
journal, January 2011

  • Clement-Nyns, Kristien; Haesen, Edwin; Driesen, Johan
  • Electric Power Systems Research, Vol. 81, Issue 1
  • DOI: 10.1016/j.epsr.2010.08.007

A Reference Network Model for Large-Scale Distribution Planning With Automatic Street Map Generation
journal, February 2011

  • Mateo Domingo, Carlos; Gomez San Roman, Tomas; Sanchez-Miralles, Alvaro
  • IEEE Transactions on Power Systems, Vol. 26, Issue 1
  • DOI: 10.1109/TPWRS.2010.2052077

Development of Three-Phase Unbalanced Power Flow Using PV and PQ Models for Distributed Generation and Study of the Impact of DG Models
journal, August 2007

  • Khushalani, Sarika; Solanki, Jignesh M.; Schulz, Noel N.
  • IEEE Transactions on Power Systems, Vol. 22, Issue 3
  • DOI: 10.1109/TPWRS.2007.901476

The Impact of Charging Plug-In Hybrid Electric Vehicles on a Residential Distribution Grid
journal, February 2010


Residential Demand Response model and impact on voltage profile and losses of an electric distribution network
journal, August 2012


A Protection Strategy and Microprocessor-Based Relay for Low-Voltage Microgrids
journal, July 2011

  • Zamani, M. Amin; Sidhu, Tarlochan S.; Yazdani, Amirnaser
  • IEEE Transactions on Power Delivery, Vol. 26, Issue 3
  • DOI: 10.1109/TPWRD.2011.2120628

Specification, implementation, and hardware-in-the-loop real-time simulation of an active distribution grid
journal, September 2015


Radial distribution test feeders
journal, January 1991

  • Kersting, W. H.
  • IEEE Transactions on Power Systems, Vol. 6, Issue 3
  • DOI: 10.1109/59.119237

    Works referencing / citing this record:

    Photovoltaic Power Converter Management in Unbalanced Low Voltage Networks with Ancillary Services Support
    journal, March 2019

    • Barrero-González, Fermín; Pires, Victor; Sousa, José
    • Energies, Vol. 12, Issue 6
    • DOI: 10.3390/en12060972

    Optimized Integration of Electric Vehicles in Low Voltage Distribution Grids
    journal, October 2019

    • Spitzer, Martin; Schlund, Jonas; Apostolaki-Iosifidou, Elpiniki
    • Energies, Vol. 12, Issue 21
    • DOI: 10.3390/en12214059

    A Decision-Making Tool for Electric Distribution Network Planning Based on Heuristics and Georeferenced Data
    journal, October 2019

    • Valenzuela, Alex; Montalvo, Iván; Inga, Esteban
    • Energies, Vol. 12, Issue 21
    • DOI: 10.3390/en12214065

    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