Resilience-Oriented Distribution System Renovation Planning Against Urban Waterlogging: An Integer L-Shaped Approach

Frequent rainstorm-induced waterlogging poses a severe threat to aging urban power distribution infrastructure, especially underground power distribution stations and basement power distribution rooms. Relocating these underground stations to higher floors can effectively reduce the risk of station flooding and power outage, but it entails high reconstruction costs. The identification of critical distribution stations for renovation within a limited budget to minimize the potential loss caused by urban waterlogging, is an urgent problem to be addressed. This paper proposes a resilience-oriented optimal renovation planning model, which is formulated as a two-stage stochastic optimization problem. With sample average approximation, the problem is reformulated as a large-scale mixed integer linear program with block structure. To tackle the scenario-wised integer variables, the improved integer L-shaped algorithm is employed to solve the model efficiently. Numerical results on the modified 33-node test system and a real-world distribution system located in central China verify the effectiveness of the proposed method.