Preventive Transmission Maintenance Scheduling against Extreme Weather Events

Multiple instances of devastation caused by catastrophic natural disasters illustrate the need of strengthening the resilience of power systems. This paper proposes a preventive transmission maintenance schedule (TMS) to enhance power system resilience by improving component health before catastrophes. In the proposed optimization model, transmission line fragility is considered to determine the maintenance plan of defective lines that minimizes load shedding throughout disasters. Using duality theory, the suggested model is further transformed from a tri-level to a bi-level optimization problem. The column-and-constraint generation (C&CG) algorithm is used to tackle the corresponding robust optimization problem. Finally, the suggested model and solution technique are implemented on the modified IEEE RTS-79 system. The significant cost reductions and increased resilience verify the effectiveness of the suggested model.