Statistical estimation of power system vulnerability

This proposal exploits the main aspects of design and analysis of experiments. The goal is to find an early vulnerability estimation, which allows that operators make decisions before a collapse occurs. The method is based on variables that can be measured on-line using PMU technologies, specifically bus voltages. Voltage Collapse Proximity Index (VCPI) is one of the most popular indices. Vulnerability indicator, defined by a relation between bus voltages and admittance values is calculated using historical and simulated data. A multi-variable statistical model is built, which is validated and tested to assess its robustness. The proposed method is tested on the IEEE 14-bus test system. Results show effective performance for power system vulnerability estimation.