In recent years there have been many improvements in the reliability ofcritical infrastructure systems. Despite these improvements, the power systemsindustry has seen relatively small advances in this regard. For instance, powerquality deficiencies, a high number of localized contingencies, and largecascading outages are still too widespread. Though progress has been made inimproving generation, transmission, and distribution infrastructure, remedialaction schemes (RAS) remain non-standardized and are often not uniformlyimplemented across different utilities, ISOs, and RTOs. Traditionally, loadshedding and islanding have been successful protection measures in restrainingpropagation of contingencies and large cascading outages. This paper proposes anovel, algorithmic approach to selecting RAS policies to optimize the operationof the power network during and after a contingency. Specifically, we usepolicy-switching to consolidate traditional load shedding and islandingschemes. In order to model and simulate the functionality of the proposed powersystems protection algorithm, we conduct Monte-Carlo, time-domain simulationsusing Siemens PSS/E. The algorithm is tested via experiments on the IEEE-39topology to demonstrate that the proposed approach achieves optimal powersystem performance during emergency situations, given a specific set of RASpolicies.
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