<p>This study proposes an integrated strategy to effectively utilize electric taxis (ETs) for post-event recovery of power distribution networks (DNs) in disaster scenarios. The approach addresses a dial-a-ride problem (DARP) by coordinating charging and discharging regulations to improve grid security. It focuses on optimal taxi routes, considering charging, and limited range. The model highlights proactive strategies such as pre-positioning electric taxis (ETs) with vehicle-to-grid (V2G) capabilities and reconfiguring the power distribution network. A network interdiction strategy is implemented to reduce cyberattacks on the power distribution network. The results demonstrated the importance of a holistic approach considering various factors, including routing costs, cybersecurity implications, and optimal power flow constraints. When tested with New York taxi data, the hybrid planning approach emerged as the most effective model. It resulted in the lowest total tour length, reduced power load shedding, and fewer vulnerable system nodes to cyberattacks compared to other cases examined.</p>

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Powering and mobility through disasters: a dial-a-ride problem for electric taxis with charging and discharging regulations

  • Hamid R. Sayarshad

摘要

This study proposes an integrated strategy to effectively utilize electric taxis (ETs) for post-event recovery of power distribution networks (DNs) in disaster scenarios. The approach addresses a dial-a-ride problem (DARP) by coordinating charging and discharging regulations to improve grid security. It focuses on optimal taxi routes, considering charging, and limited range. The model highlights proactive strategies such as pre-positioning electric taxis (ETs) with vehicle-to-grid (V2G) capabilities and reconfiguring the power distribution network. A network interdiction strategy is implemented to reduce cyberattacks on the power distribution network. The results demonstrated the importance of a holistic approach considering various factors, including routing costs, cybersecurity implications, and optimal power flow constraints. When tested with New York taxi data, the hybrid planning approach emerged as the most effective model. It resulted in the lowest total tour length, reduced power load shedding, and fewer vulnerable system nodes to cyberattacks compared to other cases examined.