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

Kara Clark; Amirhossein Sajadi; Shuang Zhao; Kenneth Loparo

doi:10.1109/JSYST.2018.2885302

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

Kara Clark, Amirhossein Sajadi, Shuang Zhao, Kenneth Loparo

Power Systems Engineering

Case Western Reserve University

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

15 Scopus Citations

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.

Original language	American English
Pages (from-to)	3070-3079
Number of pages	10
Journal	IEEE Systems Journal
Volume	13
Issue number	3
DOIs	https://doi.org/10.1109/JSYST.2018.2885302
State	Published - 2019

NREL Publication Number

NREL/JA-5D00-66978

Keywords

frequency response
offshore wind integration
small signal stability
voltage stability

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10.1109/JSYST.2018.2885302

Cite this

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

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.",

keywords = "frequency response, offshore wind integration, small signal stability, voltage stability",

author = "Kara Clark and Amirhossein Sajadi and Shuang Zhao and Kenneth Loparo",

year = "2019",

doi = "10.1109/JSYST.2018.2885302",

language = "American English",

volume = "13",

pages = "3070--3079",

journal = "IEEE Systems Journal",

issn = "1932-8184",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "3",

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TY - JOUR

T1 - Small-Signal Stability Analysis of Large-Scale Power Systems in Response to Variability of Offshore Wind Power Plants

AU - Clark, Kara

AU - Sajadi, Amirhossein

AU - Zhao, Shuang

AU - Loparo, Kenneth

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

KW - frequency response

KW - offshore wind integration

KW - small signal stability

KW - voltage stability

U2 - 10.1109/JSYST.2018.2885302

DO - 10.1109/JSYST.2018.2885302

M3 - Article

SN - 1932-8184

VL - 13

SP - 3070

EP - 3079

JO - IEEE Systems Journal

JF - IEEE Systems Journal

IS - 3

ER -

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

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