The IEEE Reliability Test System: A Proposed 2019 Update

Clayton Barrows; Eugene Preston; Andrea Staid; Gord Stephen; Jean Paul Watson; Aaron Bloom; Ali Ehlen; Jussi Ikäheimo; Jennie Jorgenson; Dheepak Krishnamurthy; Jessica Lau; Brendan McBennett; Matthew O'Connell

doi:10.1109/TPWRS.2019.2925557

The IEEE Reliability Test System: A Proposed 2019 Update

Clayton Barrows^*
, Eugene Preston
, Andrea Staid
, Gord Stephen
, Jean Paul Watson
, Aaron Bloom
, Ali Ehlen
, Jussi Ikäheimo
, Jennie Jorgenson
, Dheepak Krishnamurthy
, Jessica Lau
, Brendan McBennett
, Matthew O'Connell

^*Corresponding author for this work

National Renewable Energy Laboratory (NREL)
Transmission Adequacy Consulting
Sandia National Laboratories

Research output: Contribution to journal › Article › Scientific › peer-review

190 Citations (Scopus)

Abstract

The evolving nature of electricity production, transmission, and consumption necessitates an update to the IEEE's Reliability Test System (RTS), which was last modernized in 1996. The update presented here introduces a generation mix more representative of modern power systems, with the removal of several nuclear and oil-generating units and the addition of natural gas, wind, solar photovoltaics, concentrating solar power, and energy storage. The update includes assigning the test system a geographic location in the southwestern United States to enable the integration of spatio-temporally consistent wind, solar, and load data with forecasts. Additional updates include common RTS transmission modifications in published literature, definitions for reserve product requirements, and market simulation descriptions to enable benchmarking of multi-period power system scheduling problems. The final section presents example results from a production cost modeling simulation on the updated RTS system data.

Original language	English
Article number	8753693
Pages (from-to)	119-127
Journal	IEEE Transactions on Power Systems
Volume	35
Issue number	1
DOIs	https://doi.org/10.1109/TPWRS.2019.2925557
Publication status	Published - Jan 2020
MoE publication type	A1 Journal article-refereed

Funding

Manuscript received August 22, 2018; revised January 8, 2019 and May 8, 2019; accepted June 16, 2019. Date of publication July 2, 2019; date of current version January 7, 2020. This work was supported by the Department of Energy’s Grid Modernization Initiative. Paper no. TPWRS-01297-2018. (Corresponding author: Clayton Barrows.) C. Barrows, A. Bloom, A. Ehlen, J. Jorgenson, D. Krishnamurthy, J. Lau, B. McBennett, M. O’Connell, and G. Stephen are with the National Renewable Energy Laboratory, Lakewood, CO 80401 USA (e-mail: [email protected]; [email protected]; [email protected]; [email protected]; [email protected]; jessica.lau@ nrel.gov; [email protected]; [email protected]; [email protected]). This work was made possible by the U.S. Department of Energy’s (DOE) Grid Modernization Initiative, which supports the Grid Modernization Laboratory Consortium. The authors would particularly like to thank Charlton Clark (Office of Energy Efficiency) and Kerry Cheung (Office of Electricity) at the DOE for their support. They would also like to acknowledge Rafael Castro (Polaris) and Hooman Ghaffarzadeh (Washington State University) for creating software-specific versions of the RTS-GMLC, Bethany Frew for her support and review, and the dozens of online collaborators who continue to contribute to and develop the RTS-GMLC model. This work was authored in part by Alliance for Sustainable Energy, LLC, the manager and operator of the National Renewable Energy Laboratory for the U.S. Department of Energy (DOE) under Contract DE-AC36-08GO28308. The views expressed in this paper do not necessarily represent the views of the DOE or the U.S. Government. The U.S. Government retains and the publisher, by accepting the article for publication, acknowledges that the U.S. Government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this work, or allow others to do so, for U.S. Government purposes. A portion of the research was performed using computational resources sponsored by the Department of Energy’s Office of Energy Efficiency and Renewable Energy and located at the National Renewable Energy Laboratory. Sandia National Laboratories is a multimission laboratory managed and operated by National Technology and Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International, Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under Contract DE-NA-0003525. This paper describes objective technical results and analysis. Any subjective views or opinions that might be expressed in the paper do not necessarily represent the views of the U.S. Department of Energy or the United States Government.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

benchmarking
exact reliability indices
Power system economics
power system modeling
power system operations
power system planning
power system reliability
production cost modeling
reliability test system

Access to Document

10.1109/TPWRS.2019.2925557

Cite this

@article{65b5058796c1468d810f30006d2fd69c,

title = "The IEEE Reliability Test System: A Proposed 2019 Update",

abstract = "The evolving nature of electricity production, transmission, and consumption necessitates an update to the IEEE's Reliability Test System (RTS), which was last modernized in 1996. The update presented here introduces a generation mix more representative of modern power systems, with the removal of several nuclear and oil-generating units and the addition of natural gas, wind, solar photovoltaics, concentrating solar power, and energy storage. The update includes assigning the test system a geographic location in the southwestern United States to enable the integration of spatio-temporally consistent wind, solar, and load data with forecasts. Additional updates include common RTS transmission modifications in published literature, definitions for reserve product requirements, and market simulation descriptions to enable benchmarking of multi-period power system scheduling problems. The final section presents example results from a production cost modeling simulation on the updated RTS system data.",

keywords = "benchmarking, exact reliability indices, Power system economics, power system modeling, power system operations, power system planning, power system reliability, production cost modeling, reliability test system",

author = "Clayton Barrows and Eugene Preston and Andrea Staid and Gord Stephen and Watson, \{Jean Paul\} and Aaron Bloom and Ali Ehlen and Jussi Ik{\"a}heimo and Jennie Jorgenson and Dheepak Krishnamurthy and Jessica Lau and Brendan McBennett and Matthew O'Connell",

note = "Funding Information: This work was made possible by the U.S. Department of Energy{\textquoteright}s (DOE) Grid Modernization Initiative, which supports the Grid Modernization Laboratory Consortium. The authors would particularly like to thank Charlton Clark (Office of Energy Efficiency) and Kerry Cheung (Office of Electricity) at the DOE for their support. They would also like to acknowledge Rafael Castro (Polaris) and Hooman Ghaffarzadeh (Washington State University) for creating software-specific versions of the RTS-GMLC, Bethany Frew for her support and review, and the dozens of online collaborators who continue to contribute to and develop the RTS-GMLC model. This work was authored in part by Alliance for Sustainable Energy, LLC, the manager and operator of the National Renewable Energy Laboratory for the U.S. Department of Energy (DOE) under Contract DE-AC36-08GO28308. The views expressed in this paper do not necessarily represent the views of the DOE or the U.S. Government. The U.S. Government retains and the publisher, by accepting the article for publication, acknowledges that the U.S. Government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this work, or allow others to do so, for U.S. Government purposes. A portion of the research was performed using computational resources sponsored by the Department of Energy{\textquoteright}s Office of Energy Efficiency and Renewable Energy and located at the National Renewable Energy Laboratory. Sandia National Laboratories is a multimission laboratory managed and operated by National Technology and Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International, Inc., for the U.S. Department of Energy{\textquoteright}s National Nuclear Security Administration under Contract DE-NA-0003525. This paper describes objective technical results and analysis. Any subjective views or opinions that might be expressed in the paper do not necessarily represent the views of the U.S. Department of Energy or the United States Government. Funding Information: Manuscript received August 22, 2018; revised January 8, 2019 and May 8, 2019; accepted June 16, 2019. Date of publication July 2, 2019; date of current version January 7, 2020. This work was supported by the Department of Energy{\textquoteright}s Grid Modernization Initiative. Paper no. TPWRS-01297-2018. (Corresponding author: Clayton Barrows.) C. Barrows, A. Bloom, A. Ehlen, J. Jorgenson, D. Krishnamurthy, J. Lau, B. McBennett, M. O{\textquoteright}Connell, and G. Stephen are with the National Renewable Energy Laboratory, Lakewood, CO 80401 USA (e-mail: [email protected]; [email protected]; [email protected]; [email protected]; [email protected]; jessica.lau@ nrel.gov; [email protected]; [email protected]; [email protected]). Publisher Copyright: {\textcopyright} 1969-2012 IEEE. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.",

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doi = "10.1109/TPWRS.2019.2925557",

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AU - Preston, Eugene

AU - Staid, Andrea

AU - Stephen, Gord

AU - Watson, Jean Paul

AU - Bloom, Aaron

AU - Ehlen, Ali

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AU - Jorgenson, Jennie

AU - Krishnamurthy, Dheepak

AU - Lau, Jessica

AU - McBennett, Brendan

AU - O'Connell, Matthew

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The IEEE Reliability Test System: A Proposed 2019 Update

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UN SDGs

Keywords

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