A regression model-based approach to fast contingency screening for transient stability

The study develops a fast and simple technique for on-line transient stability assessment for the case of fault disturbances in the power transmission system. A case study for stability preventive control by generation rescheduling illustrates an application of the proposed procedure. The study focuses on an implementation of an on-line contingency screening method. A regression model is built between the proposed stability index and the critical clearing time. This regression model is based on off-line calculations for application in real-time transient stability assessment. Three different stability indices are proposed: rotor Angle Increment index, Absolute Angle Increment index, and Kinetic Energy index. In the off-line computation, the regression model relationship between the chosen index and the critical clearing time is built. For on-line application, the critical clearing time is determined using the regression equation and the calculated stability index value. The IEEE 39-bus 10-machine test system is used to evaluate the performance of the proposed method.