Risk Assessment of Static Voltage Stability

Considerating operating conditions of controllable equipment and corrective controls for voltage stability, a quadratic optimal model of minimizing the total load curtailment was proposed to identify power flow solvability. This model is combined with the modal analysis method to recognize system voltage instability. Based on the proposed method, a risk assessment technique for static voltage stability was presented using Monet Carlo simulation for selecting system states. The technique evaluates the probability of system voltage instability, expected load curtailments required to avoid system collapse and relationship between load curtailment and probability of voltage instability. The simulation results of the IEEE14 bus system demonstrate the effectiveness of the proposed method and technique.