A Fast Real-Time Transient Stability Estimation for Enhanced Situational Awareness

The power network may experience transient unstable conditions due to initiation of any disruption. To ensure the system's stability against temporary disruptions, it is imperative to assess the impact of these disturbances promptly and accurately on the system. One of the most common technique for evaluating Transient Stability (TS) state is through real-time data obtained from Phasor Measurement Units (PMUs).To ensure the system's stability under these temporary disruptions, it is imperative to promptly and accurately assess the impact of credible disturbances on the system. The objective of any method is to evaluate TS state effectively with real-time fast and accurate implementations. This paper presents a technique that utilizes synchrophasor measurements to enhance the real-time evaluation of transient stability in power systems. This method will help the grid operator improve the power grid's overall stability. The synchrophasor measurements are composed of time-stamped system information that is available at control centers through PMUs. The developed algorithm for TS assessment depends on the availability and accuracy of rotor angles received by PMUs at the control center. The Transient Stability (TS) of the system is obtained in real-time by using an AdaBoost classifier, and features are constructed using these coordinated angle measurements. The main feature of the proposed method is its ability to assess the TS with first 3 cycle consecutive PMU data following disturbance. The efficacy of the developed algorithm is tested on the standard IEEE 39-bus test and compared with other classifiers. The developed scheme with AdaBoost classifier demonstrates efficiency and resilience to topological changes, as evident by the results.