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

Journal Article · Thu Dec 20 00:00:00 EST 2018 · IEEE Systems Journal

DOI:https://doi.org/10.1109/JSYST.2018.2885302· OSTI ID:1491443

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

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

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.

• Research Organization: National Renewable Energy Lab. (NREL), Golden, CO (United States)
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)
• Grant/Contract Number: AC36-08GO28308
• OSTI ID: 1491443
• Report Number(s): NREL/JA-5D00-66978
• Journal Information: IEEE Systems Journal, Vol. 13, Issue 3; ISSN 1932-8184
• Publisher: IEEE
• Country of Publication: United States
• Language: English

Related Subjects

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