Temperature-based Model-Predictive Cascade Mitigation in Electric Power Systems

This paper proposes a novel model-predictive control scheme which combines both economic and security objectives to mitigate the effects of severe disturbances in electrical power systems. A linear convex relaxation of the AC power flow is employed to model transmission line losses and conductor temperatures. Then, a receding-horizon model predictive control (MPC) strategy is developed to alleviate line temperature overloads and prevent the propagation of outages. The MPC strategy seeks to alleviate temperature overloads by rescheduling generation, energy storage and other network elements, subject to ramp-rate limits and network limitations. The MPC strategy is illustrated with simulations of the IEEE RTS-96 network augmented with energy storage and renewable generation.