Data-Driven Dynamic Modeling in Power Systems: A Fresh Look on Inverter-Based Resource Modeling

Fan, Lingling; Miao, Zhixin; Shah, Shahil; Koralewicz, Przemyslaw; Gevorgian, Vahan; Fu, Jian

doi:10.1109/mpe.2022.3150827

Title: Data-Driven Dynamic Modeling in Power Systems: A Fresh Look on Inverter-Based Resource Modeling

Abstract

Here, this article introduces ways to identify dynamic system models using measurement data. In power system analysis, a static model represents the time-invariant input-output relationship of a system, while a dynamic model describes the behavior of the system over time. For example, how will a system transit from one steady-state operation point to another?

Authors:

Fan, Lingling ^[1]; Miao, Zhixin ^[1];

^[2];

^[2]; Gevorgian, Vahan ^[2]; Fu, Jian ^[3]

Univ. of South Florida, Tampa, FL (United States)
National Renewable Energy Lab. (NREL), Golden, CO (United States)
US Department of Energy (USDOE), Washington DC (United States)

Publication Date:: Thu Apr 21 00:00:00 EDT 2022

Research Org.:: National Renewable Energy Lab. (NREL), Golden, CO (United States)

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Wind Energy Technologies Office

OSTI Identifier:: 1869277

Report Number(s):: NREL/JA-5D00-80444
Journal ID: ISSN 1540-7977; MainId:42647;UUID:354072cb-5f99-401c-a6f7-75a436f8a434;MainAdminID:64539

Grant/Contract Number:: AC36-08GO28308

Resource Type:: Accepted Manuscript

Journal Name:: IEEE Power & Energy Magazine

Additional Journal Information:: Journal Volume: 20; Journal Issue: 3; Journal ID: ISSN 1540-7977

Publisher:: IEEE

Country of Publication:: United States

Language:: English

Subject:: 24 POWER TRANSMISSION AND DISTRIBUTION; black-box models; control interactions; dynamic modeling; frequency-domain modeling; impedance response; measurement-based modeling; resonance; stability

Citation Formats


                    Fan, Lingling, Miao, Zhixin, Shah, Shahil, Koralewicz, Przemyslaw, Gevorgian, Vahan, and Fu, Jian. Data-Driven Dynamic Modeling in Power Systems: A Fresh Look on Inverter-Based Resource Modeling.  United States: N. p., 2022. 
Web.  doi:10.1109/mpe.2022.3150827.

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                    Fan, Lingling, Miao, Zhixin, Shah, Shahil, Koralewicz, Przemyslaw, Gevorgian, Vahan, & Fu, Jian. Data-Driven Dynamic Modeling in Power Systems: A Fresh Look on Inverter-Based Resource Modeling.  United States.  https://doi.org/10.1109/mpe.2022.3150827

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                    Fan, Lingling, Miao, Zhixin, Shah, Shahil, Koralewicz, Przemyslaw, Gevorgian, Vahan, and Fu, Jian. Thu .  
"Data-Driven Dynamic Modeling in Power Systems: A Fresh Look on Inverter-Based Resource Modeling".  United States.  https://doi.org/10.1109/mpe.2022.3150827.  https://www.osti.gov/servlets/purl/1869277.

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@article{osti_1869277,

  title        = {Data-Driven Dynamic Modeling in Power Systems: A Fresh Look on Inverter-Based Resource Modeling},

  author       = {Fan, Lingling and Miao, Zhixin and Shah, Shahil and Koralewicz, Przemyslaw and Gevorgian, Vahan and Fu, Jian},

  abstractNote = {Here, this article introduces ways to identify dynamic system models using measurement data. In power system analysis, a static model represents the time-invariant input-output relationship of a system, while a dynamic model describes the behavior of the system over time. For example, how will a system transit from one steady-state operation point to another?},

  doi          = {10.1109/mpe.2022.3150827},

  journal      = {IEEE Power & Energy Magazine},

  number       = 3,

  volume       = 20,

  place        = {United States},

  year         = {Thu Apr 21 00:00:00 EDT 2022},

  month        = {Thu Apr 21 00:00:00 EDT 2022}

}

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Journal Article:

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Works referenced in this record:

Admittance-Based Stability Analysis: Bode Plots, Nyquist Diagrams or Eigenvalue Analysis?
journal, July 2020

Fan, Lingling; Miao, Zhixin
IEEE Transactions on Power Systems, Vol. 35, Issue 4
DOI: 10.1109/TPWRS.2020.2996014

Constrained Subspace Method for the Identification of Structured State-Space Models (COSMOS)
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Yu, Chengpu; Ljung, Lennart; Wills, Adrian
IEEE Transactions on Automatic Control, Vol. 65, Issue 10
DOI: 10.1109/TAC.2019.2957703

Identifying DQ-Domain Admittance Models of a 2.3-MVA Commercial Grid-Following Inverter via Frequency-Domain and Time-Domain Data
journal, September 2021

Fan, Lingling; Miao, Zhixin; Koralewicz, Przemyslaw
IEEE Transactions on Energy Conversion, Vol. 36, Issue 3
DOI: 10.1109/TEC.2020.3048389

Sequence Impedance Measurement of Utility-Scale Wind Turbines and Inverters – Reference Frame, Frequency Coupling, and MIMO/SISO Forms
journal, March 2022

Shah, Shahil; Koralewicz, Przemyslaw; Gevorgian, Vahan
IEEE Transactions on Energy Conversion, Vol. 37, Issue 1
DOI: 10.1109/TEC.2021.3093516

Dynamic load models in power systems using the measurement approach
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Lin, C. -J.; Chen, A. Y. -T.; Chiou, C. -Y.
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Deep Learning and System Identification
journal, January 2020

Ljung, Lennart; Andersson, Carl; Tiels, Koen
IFAC-PapersOnLine, Vol. 53, Issue 2
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Title: Data-Driven Dynamic Modeling in Power Systems: A Fresh Look on Inverter-Based Resource Modeling

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