Low Frequency Oscillation Mode Identification Based On Blind Source Separation Via Ambient Signals
- Resource Type
- Conference
- Authors
- Lin, W. B.; Ji, T. Y.; Li, M. S.; Wu, Q. H.
- Source
- 2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED), 2019 IEEE 12th International Symposium on. :500-506 Aug, 2019
- Subject
- Aerospace
Bioengineering
Components, Circuits, Devices and Systems
Engineered Materials, Dielectrics and Plasmas
General Topics for Engineers
Power, Energy and Industry Applications
Signal Processing and Analysis
Transportation
Covariance matrices
Damping
Oscillators
Phasor measurement units
Power systems
Frequency estimation
Blind source separation
Low frequency oscillations (LFO)
blind source separation (BSS)
random decrement technique (RDT)
ambient signals
- Language
In this paper, a new method is proposed using blind source separation (BSS) and random decrement technique (RDT) for low frequency sscillation (LFO) parameter estimation. The proposed method identifies LFO parameters using ambient data collected from phasor measurement unit (PMU) measurements. Simulation studies are carried out with numerical signals simulated from transfer function and WSCC three-machine nine-bus system. The results indicate that the proposed method can effectively identify LFO paremeters with high accuracy.