Measurement-based power system dynamic model reductions

Xuemeng Zhang; Yaosuo Xue; Shutang You; Yong Liu; Zhiyong Yuan; Jidong Chai; Yilu Liu

doi:10.1109/NAPS.2017.8107178

Measurement-based power system dynamic model reductions

Xuemeng Zhang, Yaosuo Xue, Shutang You, Yong Liu, Zhiyong Yuan, Jidong Chai, 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. Therefore, the model of the study system must be retained in detail while the external system can be reduced using system reduction techniques. This paper proposes a measurement-based dynamic equivalent in order to increase both model accuracy and simulation speed. The proposed method uses a set of measurements at the boundary nodes between the study area and external area for model parameter identification. Case studies demonstrate that the measurement-based technique can capture the main system behaviors accurately and improve computational efficiency.

Original language	English
Title of host publication	2017 North American Power Symposium, NAPS 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538626993
DOIs	https://doi.org/10.1109/NAPS.2017.8107178
State	Published - Nov 13 2017
Event	2017 North American Power Symposium, NAPS 2017 - Morgantown, United States Duration: Sep 17 2017 → Sep 19 2017

Publication series

Name	2017 North American Power Symposium, NAPS 2017

Conference

Conference	2017 North American Power Symposium, NAPS 2017
Country/Territory	United States
City	Morgantown
Period	09/17/17 → 09/19/17

Funding

ACKNOWLEDGMENTS This material is based upon work supported by the U.S. Department of Energy, Grid Modernization Initiative, Grid Modernization Laboratory Consortium Extreme Event Modeling project, and partially supported by NSF under award number 1509624. This work also made use of the Engineering Research Center Shared Facilities supported by the Engineering Research Center Program of the National Science Foundation and DOE under NSF Award Number EEC-1041877 and the CURENT Industry Partnership Program.

Keywords

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

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10.1109/NAPS.2017.8107178

Cite this

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title = "Measurement-based power system dynamic model reductions",

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. Therefore, the model of the study system must be retained in detail while the external system can be reduced using system reduction techniques. This paper proposes a measurement-based dynamic equivalent in order to increase both model accuracy and simulation speed. The proposed method uses a set of measurements at the boundary nodes between the study area and external area for model parameter identification. Case studies demonstrate that the measurement-based technique can capture the main system behaviors accurately and improve computational efficiency.",

keywords = "Dynamic equivalent, model reduction, power system dynamic simulation, system identification, system transfer function",

author = "Xuemeng Zhang and Yaosuo Xue and Shutang You and Yong Liu and Zhiyong Yuan and Jidong Chai and Yilu Liu",

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year = "2017",

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day = "13",

doi = "10.1109/NAPS.2017.8107178",

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Zhang, X, Xue, Y, You, S, Liu, Y, Yuan, Z, Chai, J & Liu, Y 2017, Measurement-based power system dynamic model reductions. in 2017 North American Power Symposium, NAPS 2017., 8107178, 2017 North American Power Symposium, NAPS 2017, Institute of Electrical and Electronics Engineers Inc., 2017 North American Power Symposium, NAPS 2017, Morgantown, United States, 09/17/17. https://doi.org/10.1109/NAPS.2017.8107178

Measurement-based power system dynamic model reductions. / Zhang, Xuemeng; Xue, Yaosuo; You, Shutang et al.
2017 North American Power Symposium, NAPS 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 8107178 (2017 North American Power Symposium, NAPS 2017).

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

TY - GEN

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AU - Zhang, Xuemeng

AU - Xue, Yaosuo

AU - You, Shutang

AU - Liu, Yong

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AU - Liu, Yilu

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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. Therefore, the model of the study system must be retained in detail while the external system can be reduced using system reduction techniques. This paper proposes a measurement-based dynamic equivalent in order to increase both model accuracy and simulation speed. The proposed method uses a set of measurements at the boundary nodes between the study area and external area for model parameter identification. Case studies demonstrate that the measurement-based technique can capture the main system behaviors accurately and improve computational efficiency.

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KW - model reduction

KW - power system dynamic simulation

KW - system identification

KW - system transfer function

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M3 - Conference contribution

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PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2017 North American Power Symposium, NAPS 2017

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ER -

Measurement-based power system dynamic model reductions

Abstract

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Keywords

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