TY - JOUR
T1 - Data-Driven estimation of frequency response from ambient synchrophasor measurements
AU - Huynh, Phuc
AU - Zhu, Hao
AU - Chen, Qianli
AU - Elbanna, Ahmed E.
N1 - Manuscript received October 2, 2017; revised March 7, 2018; accepted April 22, 2018. Date of publication May 3, 2018; date of current version October 18, 2018. This work was supported in part by the Siebel Energy Institute, in part by the National Science Foundation under Award ECCS-1802319. Paper no. TPWRS-01512-2017. (Corresponding author: Hao Zhu.) P. Huynh is with the Department of Electrical and Computer Engineering, University of Illinois at Urbana–Champaign, Urbana, IL 61801 USA (e-mail:, [email protected]).
PY - 2018/11
Y1 - 2018/11
N2 - With the wide deployment of synchrophasor technology, measurement-based dynamic modeling and studies have been becoming increasingly useful for real-time grid operations. This paper considers the problem of estimating the power system frequency response from ambient synchrophasor measurements. Specifically, we develop the analytical conditions for establishing the equivalence between the cross correlation of ambient generator speed data and the system frequency response between any two locations. Our conditions, relying on uniformly damped and equally excited oscillation modes, extend earlier work on electromechanical wave propagation modeling to nonhomogeneous power networks. Numerical results suggest that the validity of the cross correlation approach would hold for more realistic conditions such as nonuniform damping and high-order generator model. Its practical value is further corroborated by real-data results, which closely match with the actual propagation time of electromechanical waves recorded during the 2008 Florida blackout in the Eastern Interconnection system.
AB - With the wide deployment of synchrophasor technology, measurement-based dynamic modeling and studies have been becoming increasingly useful for real-time grid operations. This paper considers the problem of estimating the power system frequency response from ambient synchrophasor measurements. Specifically, we develop the analytical conditions for establishing the equivalence between the cross correlation of ambient generator speed data and the system frequency response between any two locations. Our conditions, relying on uniformly damped and equally excited oscillation modes, extend earlier work on electromechanical wave propagation modeling to nonhomogeneous power networks. Numerical results suggest that the validity of the cross correlation approach would hold for more realistic conditions such as nonuniform damping and high-order generator model. Its practical value is further corroborated by real-data results, which closely match with the actual propagation time of electromechanical waves recorded during the 2008 Florida blackout in the Eastern Interconnection system.
KW - Cross-correlation
KW - phasor measurement units (PMUs)
KW - power system dynamics
KW - power system frequency response
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U2 - 10.1109/TPWRS.2018.2832838
DO - 10.1109/TPWRS.2018.2832838
M3 - Article
AN - SCOPUS:85046337554
SN - 0885-8950
VL - 33
SP - 6590
EP - 6599
JO - IEEE Transactions on Power Systems
JF - IEEE Transactions on Power Systems
IS - 6
M1 - 8353802
ER -