Post-disaster repair optimization method for traction power supply system of electrified railways based on train operation loss

Abstract

The traction power supply system (TPSS) is the critical facility that provides power to electrified railways. However, TPSS is highly susceptible to extreme events. Therefore, it is essential to develop reasonable post-disaster repair strategies to mitigate losses. In this context, this paper proposes a post-disaster repair optimization method for TPSS based on train operation loss. The hazard characterization and equipment fragility analysis are introduced to simulate post-disaster fault scenarios of TPSSs. By analyzing the changes in component states during the repair process, the component state transition model based on the multi-stage decision process is established and the state transition relationship is derived. According to the component state and TPSS topology, the model for evaluating the power supply state of the traction network is constructed. On this basis, the indicator of train operation loss is defined, which is used as the objective to formulate the post-disaster repair optimization model of TPSSs. The case study using real-world high-speed railway data demonstrates that, compared to traditional repair strategies, the proposed method effectively reduces the restoration time of TPSS and significantly decreases train operation loss. This method can provide maintenance personnel with theoretical bases for formulating post-disaster repair strategies.