skip to main content
DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

This content will become publicly available on December 20, 2019

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.

Authors:
 [1];  [1];  [1];  [2]
  1. Case Western Reserve Univ., Cleveland, OH (United States)
  2. National Renewable Energy Lab. (NREL), Golden, CO (United States)
Publication Date:
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 Name: IEEE Systems Journal; 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.
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. doi:10.1109/JSYST.2018.2885302.
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. doi:10.1109/JSYST.2018.2885302.
@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 = ,
volume = ,
place = {United States},
year = {2018},
month = {12}
}

Journal Article:
Free Publicly Available Full Text
This content will become publicly available on December 20, 2019
Publisher's Version of Record

Save / Share: