[Legacy Report] Linear model-predictive cascade mitigation in AC electric power systems with energy storage

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This talk proposes a novel model-predictive control scheme for transmission-level operation, which combines both economic and security objectives to mitigate the effects of line outages 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, through feedback, prevents the propagation of outages. The MPC strategy 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 an augmented IEEE RTS-96 network with energy storage and renewable generation.

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