Abstract
For traditional Multivariate Empirical Mode Decomposition method (MEMD) in the processing of multichannel measurement information, there is a data imbalance between the measurement channel and data correlation caused by the large error of dominant oscillation mode identification result, and the mode mixing phenomenon has not been effectively eliminated. This paper proposes a novel MEMD method based on Adaptive Projection (APIT - MEMD) for dominant oscillation mode identification method of power system. APIT-MEMD is first used to decompose the multi-channel measurement information containing oscillation information and accurately isolate the Intrinsic Mode Functions (IMF) signals containing the IMF in each measurement channel. Then, the Teager energy criterion is used to select IMF signals that can represent the dominant oscillation mode. Furthermore, the Hilbert-Huang Transform (HHT) is used to estimate the frequency and damping ratio of the dominant oscillation modes in each IMF. Finally, the proposed method is applied to the IEEE-68 bus system for method analysis and verification.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
