Model prediction based transient stability control

The paper proposes a transient stability control methodology for power systems that is based on model prediction control theory. Wide-area real-time measurements are combined with real-time model simulations to compute optimal control actions that are needed to stabilize a power system during large disturbances. Test results from Kundur two area test system and 39-bus New England test system illustrate the concepts.