Resilience Enhancement in Urban Power-Transportation System Considering Multiple Uncertainties Against Ice Storms

This paper proposes a resilience enhancement strategy for the urban power-transportation system (UPTS) against ice storms. To address the uncertain impacts of ice storms on the UPTS, a Wasserstein distance-based ambiguity set is established to describe the uncertain probability distributions of failure probabilities of power lines and reduction of transportation capacities. The de-icing schedule, liquefied natural gas (LNG) pre-allocation, mobile emergency generators (MEGs) scheduling and Vehicle-to-grid (V2G) services are coordinated to minimize the load shedding and operating costs of the UPTS. A distributionally robust chance constraint (DRCC) model is established and reformulated by conditional value-at-risk (CVaR) approximation, where the Lagrangian relaxation method is applied to protect the privacy of the independent system and accelerate the solution process. Case studies demonstrate the effectiveness of the proposed strategy for the UPTS in terms of operating costs, power load shedding and robustness to multiple uncertainties.