Parameter identification of subsynchronous oscillation based on FastICA and MP algorithms

Abstract

The online identification of subsynchronous oscillation (SSO) became possible with a wide application of wide area measurement system. However, there is more power electronic equipment in the power system. So, there are strong interference noises in the sampled signal, and the veracity of vibration modal parameters is influenced. The fast independent component analysis (FastICA) could separate noise signal from the observed signal. This study presented the pretreatment of sampling signal through the FastICA and the identification of the SSO parameter through matrix pencil (MP). The recognition accuracy could be enhanced based on FastICA–MP. This study sets the ideal example and the IEEE first benchmark model as the simulation examples. The simulation results show that the FastICA could separate noise signal effectively, and the MP identification accuracy is improved. The research result lays the foundations for the design of supplementary subsynchronous damping controller.

Keywords

• damping
• power transmission control
• eigenvalues and eigenfunctions
• oscillations
• vibrations
• power system measurement
• independent component analysis
• parameter estimation
• noise signal
• observed signal
• SSO parameter
• FastICA–MP
• MP identification accuracy
• supplementary subsynchronous damping controller
• parameter identification
• subsynchronous oscillation
• MP algorithms
• online identification
• wide application
• wide area measurement system
• power electronic equipment
• power system
• strong interference noises
• sampled signal
• vibration modal parameters
• fast independent component analysis