TY - GEN
T1 - A lower sideband EMD and its application in power systems
AU - Li, Chengxin
AU - Liu, Junyong
AU - Dong, Zhaoyang
AU - Chen, Guo
N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].
PY - 2016/3/11
Y1 - 2016/3/11
N2 - Low frequency oscillation assessment methods based on measured data have attracted increasing attention from research and industry stakeholders in power systems engineering. Among those existing methods, empirical mode decomposition (EMD) is a multi-resolution signal processing method used for analysis of non-stationary signals. In recent years, EMD has been a most widely used method in practice. However, it has some disadvantages such as end effect, mode mixing, etc. If a signal contains more than two individual components whose frequencies fall within an octave, it cannot be decomposed by standard and the frequency heterodyne EMD methods. To improve the frequency resolution, a lower sideband frequency shift EMD (LSB-EMD) is proposed in this paper. The method includes an advanced approach on how to select an appropriate modulation frequency so as to can enlarge the component frequency ratios and avoid frequencies turn over. The improved frequency shift EMD is integrated with the procedure of the standard EMD. Consequently, the complex signal can be decomposed by the method. This method can be applied for the analysis of low-frequency oscillations, as well as other power-system signals such as power quality signals and inrush currents. The effectiveness of the method to separate closely spaced modal components is demonstrated by both numerical simulation and field measurements. © 2015 IEEE.
AB - Low frequency oscillation assessment methods based on measured data have attracted increasing attention from research and industry stakeholders in power systems engineering. Among those existing methods, empirical mode decomposition (EMD) is a multi-resolution signal processing method used for analysis of non-stationary signals. In recent years, EMD has been a most widely used method in practice. However, it has some disadvantages such as end effect, mode mixing, etc. If a signal contains more than two individual components whose frequencies fall within an octave, it cannot be decomposed by standard and the frequency heterodyne EMD methods. To improve the frequency resolution, a lower sideband frequency shift EMD (LSB-EMD) is proposed in this paper. The method includes an advanced approach on how to select an appropriate modulation frequency so as to can enlarge the component frequency ratios and avoid frequencies turn over. The improved frequency shift EMD is integrated with the procedure of the standard EMD. Consequently, the complex signal can be decomposed by the method. This method can be applied for the analysis of low-frequency oscillations, as well as other power-system signals such as power quality signals and inrush currents. The effectiveness of the method to separate closely spaced modal components is demonstrated by both numerical simulation and field measurements. © 2015 IEEE.
KW - Electric power systems
KW - Empirical mode decomposition
KW - Frequency shift
KW - Low frequency oscillations
KW - Lower sideband
UR - http://www.scopus.com/inward/record.url?scp=84968928033&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84968928033&origin=recordpage
U2 - 10.1109/DRPT.2015.7432351
DO - 10.1109/DRPT.2015.7432351
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 9781467371063
T3 - Proceedings of the 5th IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies, DRPT 2015
SP - 757
EP - 764
BT - Proceedings of the 5th IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies, DRPT 2015
PB - IEEE
T2 - 5th IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies, DRPT 2015
Y2 - 26 November 2015 through 29 November 2015
ER -