Small-Signal Stability Analysis of Large-Scale Power Systems in Response to Variability of Offshore Wind Power Plants
| Autor: | Kara Clark, Shuang Zhao, Kenneth A. Loparo, Amirhossein Sajadi |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Frequency response
021103 operations research Wind power Computer Networks and Communications business.industry Modal analysis 0211 other engineering and technologies 02 engineering and technology Least squares Stability (probability) Computer Science Applications Offshore wind power Electric power system Control and Systems Engineering Eastern Interconnection Environmental science Electrical and Electronic Engineering business Information Systems Marine engineering |
| Zdroj: | IEEE Systems Journal. 13:3070-3079 |
| ISSN: | 2373-7816 1932-8184 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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