Small-Signal Stability Analysis of Large-Scale Power Systems in Response to Variability of Offshore Wind Power Plants

Sajadi, Amirhossein; Zhao, Shuang; Clark, Kara; Loparo, Kenneth A.

doi:10.1109/JSYST.2018.2885302

Title: Small-Signal Stability Analysis of Large-Scale Power Systems in Response to Variability of Offshore Wind Power Plants

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Abstract

This paper presents a methodology for a small-signal stability analysis of large-scale power systems in response to variability of offshore wind power plants. This study considers the variability of wind power as the source of disturbance introduced to the system. To accomplish this goal, a singular value decomposition-total least squares extended Prony analysis is used to assess the small-signal voltage stability. In addition, a swing-based frequency response metric is used to assess the small-signal frequency stability. The case study here considers the integration of a 1000-MW offshore wind power plant, operating in Lake Erie, into the FirstEnergy/PJM service territory. This study uses a realistic model of the 63 000-bus test system that represents the U.S. Eastern Interconnection. The results verify the utility and practicality of this methodology for the integration studies of offshore wind power plants.

Authors:

Sajadi, Amirhossein ^[1]; Zhao, Shuang ^[1]; Clark, Kara ^[1]; Loparo, Kenneth A. ^[2]

Case Western Reserve Univ., Cleveland, OH (United States)
National Renewable Energy Lab. (NREL), Golden, CO (United States)

Publication Date:: Thu Dec 20 00:00:00 EST 2018

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

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)

OSTI Identifier:: 1491443

Report Number(s):: NREL/JA-5D00-66978
Journal ID: ISSN 1932-8184

Grant/Contract Number:: AC36-08GO28308

Resource Type:: Accepted Manuscript

Journal Name:: IEEE Systems Journal

Additional Journal Information:: Journal Volume: 13; Journal Issue: 3; Journal ID: ISSN 1932-8184

Publisher:: IEEE

Country of Publication:: United States

Language:: English

Subject:: 17 WIND ENERGY; 24 POWER TRANSMISSION AND DISTRIBUTION; offshore wind integration; small signal stability; frequency response; voltage stability

Citation Formats


                    Sajadi, Amirhossein, Zhao, Shuang, Clark, Kara, and Loparo, Kenneth A. Small-Signal Stability Analysis of Large-Scale Power Systems in Response to Variability of Offshore Wind Power Plants.  United States: N. p., 2018. 
Web.  doi:10.1109/JSYST.2018.2885302.

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                    Sajadi, Amirhossein, Zhao, Shuang, Clark, Kara, & Loparo, Kenneth A. Small-Signal Stability Analysis of Large-Scale Power Systems in Response to Variability of Offshore Wind Power Plants.  United States.  https://doi.org/10.1109/JSYST.2018.2885302

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                    Sajadi, Amirhossein, Zhao, Shuang, Clark, Kara, and Loparo, Kenneth A. Thu .  
"Small-Signal Stability Analysis of Large-Scale Power Systems in Response to Variability of Offshore Wind Power Plants".  United States.  https://doi.org/10.1109/JSYST.2018.2885302.  https://www.osti.gov/servlets/purl/1491443.

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@article{osti_1491443,

  title        = {Small-Signal Stability Analysis of Large-Scale Power Systems in Response to Variability of Offshore Wind Power Plants},

  author       = {Sajadi, Amirhossein and Zhao, Shuang and Clark, Kara and Loparo, Kenneth A.},

  abstractNote = {This paper presents a methodology for a small-signal stability analysis of large-scale power systems in response to variability of offshore wind power plants. This study considers the variability of wind power as the source of disturbance introduced to the system. To accomplish this goal, a singular value decomposition-total least squares extended Prony analysis is used to assess the small-signal voltage stability. In addition, a swing-based frequency response metric is used to assess the small-signal frequency stability. The case study here considers the integration of a 1000-MW offshore wind power plant, operating in Lake Erie, into the FirstEnergy/PJM service territory. This study uses a realistic model of the 63 000-bus test system that represents the U.S. Eastern Interconnection. The results verify the utility and practicality of this methodology for the integration studies of offshore wind power plants.},

  doi          = {10.1109/JSYST.2018.2885302},

  journal      = {IEEE Systems Journal},

  number       = 3,

  volume       = 13,

  place        = {United States},

  year         = {Thu Dec 20 00:00:00 EST 2018},

  month        = {Thu Dec 20 00:00:00 EST 2018}

}

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