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 Readiness of power systems to cope with emergencies, especially those of sabotage origins, can improve the resiliency and minimize the restoration cost and time. In the current paper, in a tri-level robust decision making framework, system operator (SO) schedules the power generation for a base case in the upper level while a rational attacker tries to disrupt the most sensitive substation and consequently the connected generation units and transmission lines which leads to maximum load shedding in the middle level. Meanwhile, the SO once again tries to minimize the load shedding by redispatching the generation fleet in the lower level. In addition, in power systems with high wind penetration rates the SO should also consider the impacts of wind generation uncertainty for a more realistic robust scheduling. In contrast with two-stage robust methods with full recourse which immunize solutions against worst economic scenario (over-conservative solutions), the proposed column and constraint generation (CCG)-based model tries to find the base case solution while ensuring that in case of malicious attacks or wind realizations the solution can be adaptively adjusted with least load shedding. The performance of the proposed model is examined in 118-bus IEEE test system.
 

Keywords: Resiliency, SCUC, Robust Optimization, Operation with high penetration Rate of RES.

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