TY - JOUR
T1 - Measurement-Based Hybrid Approach for Ringdown Analysis of Power Systems
AU - Papadopoulos, T.A.
AU - Chrysochos, A.I.
AU - Kontis, E.O.
AU - Papadopoulos, P.N.
AU - Papagiannis, G.K.
PY - 2016
Y1 - 2016
N2 - System identification methods have been widely used for the study of low frequency electromechanical oscillations and the development of low order dynamic models. This paper introduces a hybrid frequency/time-domain approach to estimate the dominant modes contained in ringdown responses of power systems. Practical issues and solutions encountered in the application of the hybrid method are discussed. The performance of the proposed technique is evaluated by applying the Monte Carlo method to synthetic signals and simulated responses from a large-scale power system, as well as to measurements recorded in a microgrid laboratory test facility. Results in all cases proved to be very accurate, verifying the robustness of the proposed method.
AB - System identification methods have been widely used for the study of low frequency electromechanical oscillations and the development of low order dynamic models. This paper introduces a hybrid frequency/time-domain approach to estimate the dominant modes contained in ringdown responses of power systems. Practical issues and solutions encountered in the application of the hybrid method are discussed. The performance of the proposed technique is evaluated by applying the Monte Carlo method to synthetic signals and simulated responses from a large-scale power system, as well as to measurements recorded in a microgrid laboratory test facility. Results in all cases proved to be very accurate, verifying the robustness of the proposed method.
UR - http://www.scopus.com/inward/record.url?eid=2-s2.0-84955091295&partnerID=MN8TOARS
U2 - 10.1109/TPWRS.2016.2514536
DO - 10.1109/TPWRS.2016.2514536
M3 - Article
SN - 0885-8950
VL - 31
JO - IEEE Transactions on Power Systems
JF - IEEE Transactions on Power Systems
IS - 6
ER -