Proactive repair crew deployment to improve transmission system resilience against hurricanes
Yiheng Bian, Zhaohong Bie, Gengfeng Li
Abstract
Abstract Extreme weather events, such as hurricanes, impose severe impacts on power systems. A rapid repair for power systems is desired after hurricanes pass to mitigate load‐shedding losses. This study proposes a proactive repair crew deployment model to prepare for post‐disaster repair and restoration. A two‐stage stochastic optimisation framework is designed. In the first stage, the repair crews are allocated to candidate locations ahead of a hurricane. In the second stage, the repair dispatch and load restoration are implemented under several damage scenarios to support the first‐stage decision‐making. A novel repair crew routing method is proposed which considers repair crew cooperation on important damaged components to enable earlier restoration of critical load. A linear‐programming approximation of AC power flow is applied to model the restoration of the transmission system in which the generator start‐up characters and security constraints are incorporated. A scenario‐based decomposition algorithm is applied to solve the stochastic problem and a preprocessing method to identify necessary components is proposed to further reduce computation time. Case studies validate the effectiveness of the proposed model in improving transmission system resilience.