@article{Barocio:2015:10.1109/TPWRS.2014.2368078,
author = {Barocio, E and Pal, BC and Thornhill, NF and Messina, AR},
doi = {10.1109/TPWRS.2014.2368078},
journal = {IEEE Transactions on Power Systems},
pages = {2902--2912},
title = {A dynamic mode decomposition framework for global power system oscillation analysis},
url = {http://dx.doi.org/10.1109/TPWRS.2014.2368078},
volume = {30},
year = {2015}
}

Download

TY  - JOUR
AB  - A global multiscale method based on a dynamic mode decomposition (DMD) algorithm to characterize the global behavior of transient processes recorded using wide-area sensors is proposed. The method interprets global dynamic behavior in terms of both, spatial patterns or shapes and temporal patterns associated with dynamic modes containing essentially single-frequency components, from which the mode shapes, frequencies and growth and decay rates of the modes can be extracted simultaneously. These modes are then used to detect the coherent and dominant structures within the data. The technique is well suited for fast wide-area monitoring and assessment of global instability in the context of modern data fusion-based estimation techniques. Results of the application of the proposed method to large, high-dimensional data sets are encouraging.
AU  - Barocio,E
AU  - Pal,BC
AU  - Thornhill,NF
AU  - Messina,AR
DO  - 10.1109/TPWRS.2014.2368078
EP  - 2912
PY  - 2015///
SN  - 0885-8950
SP  - 2902
TI  - A dynamic mode decomposition framework for global power system oscillation analysis
T2  - IEEE Transactions on Power Systems
UR  - http://dx.doi.org/10.1109/TPWRS.2014.2368078
UR  - https://ieeexplore.ieee.org/document/6982236
VL  - 30
ER  - 

Download