U.S. Eastern Interconnection (EI) Model Reductions Using a Measurement-based Approach

Xuemeng Zhang; Yaosuo Xue; Shutang You; Yong Liu; Yilu Liu

doi:10.1109/TDC.2018.8440309

U.S. Eastern Interconnection (EI) Model Reductions Using a Measurement-based Approach

Xuemeng Zhang, Yaosuo Xue, Shutang You, Yong Liu, Yilu Liu

Grid Systems Modeling and Controls

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

11 Scopus citations

Abstract

Interconnected power systems experienced a significant increase in size and complexity. It is computationally burdensome to represent the entire system in detail to conduct power system analysis. To derive reduced models of large power systems, this paper proposes a measurement-based dynamic equivalent, which uses a set of measurements at the boundary nodes between the study area and external area for model parameter identification. Case studies on the U.S. Eastern Interconnection (EI) demonstrate that the measurement-based equivalent technique can capture the external system behaviors accurately and improve computation efficiency.

Original language	English
Title of host publication	2018 IEEE/PES Transmission and Distribution Conference and Exposition, T and D 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Print)	9781538655832
DOIs	https://doi.org/10.1109/TDC.2018.8440309
State	Published - Aug 17 2018
Event	2018 IEEE/PES Transmission and Distribution Conference and Exposition, T and D 2018 - Denver, United States Duration: Apr 16 2018 → Apr 19 2018

Publication series

Name	Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference
Volume	2018-April
ISSN (Print)	2160-8555
ISSN (Electronic)	2160-8563

Conference

Conference	2018 IEEE/PES Transmission and Distribution Conference and Exposition, T and D 2018
Country/Territory	United States
City	Denver
Period	04/16/18 → 04/19/18

Funding

Notice: This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a nonexclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).

Funders	Funder number
National Science Foundation	1509624
U.S. Department of Energy	EEC-1041877

Keywords

Dynamic equivalent
model reduction
power system dynamic simulation
system identification
system transfer function

Access to Document

10.1109/TDC.2018.8440309

Cite this

Zhang, X., Xue, Y., You, S., Liu, Y., & Liu, Y. (2018). U.S. Eastern Interconnection (EI) Model Reductions Using a Measurement-based Approach. In 2018 IEEE/PES Transmission and Distribution Conference and Exposition, T and D 2018 Article 8440309 (Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference; Vol. 2018-April). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TDC.2018.8440309

Zhang, Xuemeng ; Xue, Yaosuo ; You, Shutang et al. / U.S. Eastern Interconnection (EI) Model Reductions Using a Measurement-based Approach. 2018 IEEE/PES Transmission and Distribution Conference and Exposition, T and D 2018. Institute of Electrical and Electronics Engineers Inc., 2018. (Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference).

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title = "U.S. Eastern Interconnection (EI) Model Reductions Using a Measurement-based Approach",

abstract = "Interconnected power systems experienced a significant increase in size and complexity. It is computationally burdensome to represent the entire system in detail to conduct power system analysis. To derive reduced models of large power systems, this paper proposes a measurement-based dynamic equivalent, which uses a set of measurements at the boundary nodes between the study area and external area for model parameter identification. Case studies on the U.S. Eastern Interconnection (EI) demonstrate that the measurement-based equivalent technique can capture the external system behaviors accurately and improve computation efficiency.",

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author = "Xuemeng Zhang and Yaosuo Xue and Shutang You and Yong Liu and Yilu Liu",

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Zhang, X, Xue, Y, You, S, Liu, Y & Liu, Y 2018, U.S. Eastern Interconnection (EI) Model Reductions Using a Measurement-based Approach. in 2018 IEEE/PES Transmission and Distribution Conference and Exposition, T and D 2018., 8440309, Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference, vol. 2018-April, Institute of Electrical and Electronics Engineers Inc., 2018 IEEE/PES Transmission and Distribution Conference and Exposition, T and D 2018, Denver, United States, 04/16/18. https://doi.org/10.1109/TDC.2018.8440309

U.S. Eastern Interconnection (EI) Model Reductions Using a Measurement-based Approach. / Zhang, Xuemeng; Xue, Yaosuo; You, Shutang et al.
2018 IEEE/PES Transmission and Distribution Conference and Exposition, T and D 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8440309 (Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference; Vol. 2018-April).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - U.S. Eastern Interconnection (EI) Model Reductions Using a Measurement-based Approach

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AU - You, Shutang

AU - Liu, Yong

AU - Liu, Yilu

PY - 2018/8/17

Y1 - 2018/8/17

N2 - Interconnected power systems experienced a significant increase in size and complexity. It is computationally burdensome to represent the entire system in detail to conduct power system analysis. To derive reduced models of large power systems, this paper proposes a measurement-based dynamic equivalent, which uses a set of measurements at the boundary nodes between the study area and external area for model parameter identification. Case studies on the U.S. Eastern Interconnection (EI) demonstrate that the measurement-based equivalent technique can capture the external system behaviors accurately and improve computation efficiency.

AB - Interconnected power systems experienced a significant increase in size and complexity. It is computationally burdensome to represent the entire system in detail to conduct power system analysis. To derive reduced models of large power systems, this paper proposes a measurement-based dynamic equivalent, which uses a set of measurements at the boundary nodes between the study area and external area for model parameter identification. Case studies on the U.S. Eastern Interconnection (EI) demonstrate that the measurement-based equivalent technique can capture the external system behaviors accurately and improve computation efficiency.

KW - Dynamic equivalent

KW - model reduction

KW - power system dynamic simulation

KW - system identification

KW - system transfer function

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DO - 10.1109/TDC.2018.8440309

M3 - Conference contribution

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SN - 9781538655832

T3 - Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference

BT - 2018 IEEE/PES Transmission and Distribution Conference and Exposition, T and D 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2018 IEEE/PES Transmission and Distribution Conference and Exposition, T and D 2018

Y2 - 16 April 2018 through 19 April 2018

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Zhang X, Xue Y, You S, Liu Y, Liu Y. U.S. Eastern Interconnection (EI) Model Reductions Using a Measurement-based Approach. In 2018 IEEE/PES Transmission and Distribution Conference and Exposition, T and D 2018. Institute of Electrical and Electronics Engineers Inc. 2018. 8440309. (Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference). doi: 10.1109/TDC.2018.8440309

U.S. Eastern Interconnection (EI) Model Reductions Using a Measurement-based Approach

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