Power system dynamic security mapping using synchronizing and damping torques technique

Abstract EN

This paper proposes a new methodology for the power system dynamic security assessment.

Based on the concept of stability margin, the method estimates a dynamic stability index that corresponds to the most critical value of synchronizing and damping torques of multimachine power systems.

ANN-based pattern recognition is carried out with the self-organization feature mapping developed by Kohonen.

Numerical tests, carried out on the IEEE 9-Bus power system are presented and discussed.

The analysis using such method provides accurate results with a great saving in computational time.