Analysis and Detection of Forced Oscillation Using Synchrosqueezed Wavelet Based Ridge Technique
- Resource Type
- Conference
- Authors
- Singh, Priya; Prakash, Abhineet; Kumar, Kundan; Parida, S. K.
- Source
- 2022 IEEE IAS Global Conference on Emerging Technologies (GlobConET) Emerging Technologies (GlobConET), 2022 IEEE IAS Global Conference on. :417-422 May, 2022
- Subject
- Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Time-frequency analysis
Continuous wavelet transforms
Wavelet analysis
Harmonic analysis
Frequency measurement
Noise measurement
Observability
Forced oscillation
Natural oscillation
Continuous Wavelet Transform
Synchrosqueezing Transform
Wavelet Ridges
- Language
The synchrosqueezed transform based on the continuous wavelet transform (CWT) is used in this article to obtain the ridge curve of noisy system signal measurements in order to identify and extract the oscillatory components of forced oscillation (FO), which is composed of slow varying amplitudes, frequencies, and harmonics locally. This is a method for re-assigning time frequencies that extracts explicit time frequency information from the requisite phase transformation information. It is demonstrated that it improves frequency resolution by minimizing spectral spreading and artifacts. The acquired result is compared to that obtained using CWT. The proposed methodology investigates the standard IEEE-4 machines 11 bus system and the IEEE-10 machines 39 bus system.