Model-Predictive Cascade Mitigation in Electric Power Systems With Storage and Renewables-Part I: Theory and Implementation

Journal Article · Thu Jan 01 00:00:00 EST 2015 · IEEE Transactions on Power Systems

DOI:https://doi.org/10.1109/TPWRS.2014.2320982· OSTI ID:1211449

Almassalkhi, MR; Hiskens, IA

A novel model predictive control (MPC) scheme is developed for mitigating the effects of severe line-overload disturbances in electrical power systems. A piece-wise linear convex approximation of line losses is employed to model the effect of transmission line power flow on conductor temperatures. Control is achieved through a receding-horizon model predictive control (MPC) strategy which alleviates line temperature overloads and thereby prevents the propagation of outages. The MPC strategy adjusts line flows by rescheduling generation, energy storage and controllable load, while taking into account ramp-rate limits and network limitations. In Part II of this paper, the MPC strategy is illustrated through simulation of the IEEE RTS-96 network, augmented to incorporate energy storage and renewable generation.

• Sponsoring Organization: USDOE Advanced Research Projects Agency - Energy (ARPA-E)
• DOE Contract Number: DE-AR0000232
• OSTI ID: 1211449
• Journal Information: IEEE Transactions on Power Systems, Vol. 30, Issue 1; ISSN 0885-8950
• Country of Publication: United States
• Language: English