Estimation of dominant mode parameters in power systems using correlation analysis

- A nonlinear hybrid method that combines Prony and correlation analysis.
- The method extracts the parameters of the dominant mode.
- The proposed method is noise insensitive.
- The signal to be analyzed is the only input you need to apply the method.
- Reliable approach to determine the frequency and the damping factor of PMU signals.

This paper proposes a hybrid Prony-cross-correlation real-time tracking dominant mode and parameter estimation using simulated and phasor measurement unit (PMU) data. It proposes a new method for detecting the dominant mode during the transient phenomena in electrical power systems. The performance of the proposed method has been compared to some of the existing methods for estimating the frequency and damping factor of a signal under noisy conditions, such as the Prony and EKF methods. In contrast to the traditional Prony and EKF methods for estimating the modes parameters, which require the order of the model and the initial parameters of the mode, the hybrid Prony-cross-correlation does not require any previous information. Three Brazilian systems (reduced, north and NIS) have been studied for both stationary and transient phenomena in power systems to determine the robustness and the accurate estimates even in the presence of noise in the measured signal by the proposed method.