Optimization of mobile emergency resource scheduling after power grid failure based on real-time traffic flow

Abstract

Abstract Given the increasing threat of reliability challenges in new energy networks from frequent natural disasters, our study focuses on the tactical placement of mobile emergency assets. We introduce an advanced scheduling model tailored for mobile emergency resources within traffic networks, taking into account the dynamic state of traffic flow. Our main goal is to enhance travel time efficiency for crucial vehicles. Through this approach, we devise a strategy for emergency resource allocation, covering both the path and schedule for deploying mobile emergency assets. This approach is designed to mitigate traffic congestion, thereby enhancing the efficiency and reliability of power grid fault remediation. The efficacy of our proposed model is substantiated through a case study involving a 12-node traffic network, demonstrating its potential to improve disaster response measures significantly.