Monitoring and visualization of power system stability using Synchronous Phasor Measurements

In recent years, Wide Area Measurement System (WAMS) based on Phasor Measurement Units has been built, which provide favorable opportunity to online monitoring of system quantities. Nevertheless, the information, which contains useful data and captured by WAMS, require outstanding techniques to extract and estimate the parameters of interests. The main objective of this research work is to develop signal processing techniques for monitoring the small signal stability margins of the power system using WAMS. The research examines the application of recently developed signal processing techniques for non-stationary data analysis and prediction of small signal stability of the power system. This includes development of classic Hilbert-Huang Transform algorithm and Prony algorithm to extract close mode frequencies of rotor angle oscillations. Then it is used to estimate the damping modes inherent in the system and to predict the system instability. The newly developed algorithms will be implemented on hardware at ERL technologies.

Faculty Supervisor:

Udaya Annakkage

Student:

Partner:

Discipline:

Engineering

Sector:

University:

University of Manitoba

Program:

Accelerate