Secure PMU based Low Frequency Oscillation Identification SMIB System

Modern Power systems are equipped with data source devices such as Phasor measuremet unit s and Phasor data concentrators and securing the synchronized measurement data of power system is challenging task. Technological development in the data driven techniques has reduced the complexity involved in the processing and analysis the PMU data. However, the with the data secuiry the analysis of power system behaviour has posed challenged to data and power engineer. The paper addressess the performance of various data driven and ML techniques to analyse and identify the low frequency oscillation eigenvalues under the secure environment. The synthetic data is prepared for SMIB system under MATLAB/ Simulink environment.