TY - JOUR
T1 - A Library of Second-Order Models for Synchronous Machines
AU - Ajala, Olaoluwapo
AU - Dominguez-Garcia, Alejandro
AU - Sauer, Peter
AU - Liberzon, Daniel
N1 - Funding Information:
Manuscript received December 21, 2019; revised April 14, 2020; accepted May 30, 2020. Date of publication June 10, 2020; date of current version November 4, 2020. This work supported in part by the Advanced Research Projects Agency-Energy (ARPA-E) within the NODES program, under Award DEAR0000695. Paper no. TPWRS-01918-2019. (Corresponding author: Ale-jandro Domínguez-García.) The authors are with the Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801 USA (e-mail: ooajala2@illinois.edu; aledan@illinois.edu; psauer@illinois.edu; liber-zon@illinois.edu).
Publisher Copyright:
© 1969-2012 IEEE.
PY - 2020/11
Y1 - 2020/11
N2 - This article presents a library of second-order models for synchronous machines that can be utilized in power system dynamic performance analysis and control design. The models have a similar structure to that of the so-called classical model in that they consist of two dynamic states, the power angle and the angular speed. However, unlike the classical model, they find applications beyond first swing stability analysis, i.e., they can be utilized for multi-swing transient stability analysis. The models are developed through a systematic reduction of a nineteenth-order model using singular perturbation techniques. They are validated by comparing their response with that of the high-order model from which they were derived, as well as that of other synchronous machine models existing in the literature, such as the so-called two-axis model and the so-called one-axis model.
AB - This article presents a library of second-order models for synchronous machines that can be utilized in power system dynamic performance analysis and control design. The models have a similar structure to that of the so-called classical model in that they consist of two dynamic states, the power angle and the angular speed. However, unlike the classical model, they find applications beyond first swing stability analysis, i.e., they can be utilized for multi-swing transient stability analysis. The models are developed through a systematic reduction of a nineteenth-order model using singular perturbation techniques. They are validated by comparing their response with that of the high-order model from which they were derived, as well as that of other synchronous machine models existing in the literature, such as the so-called two-axis model and the so-called one-axis model.
KW - Synchronous machines
KW - reduced-order modeling
KW - singular perturbation analysis
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U2 - 10.1109/TPWRS.2020.3000613
DO - 10.1109/TPWRS.2020.3000613
M3 - Article
AN - SCOPUS:85095967448
SN - 0885-8950
VL - 35
SP - 4803
EP - 4814
JO - IEEE Transactions on Power Systems
JF - IEEE Transactions on Power Systems
IS - 6
M1 - 9113748
ER -