通过灾难提供动力和流动性:电动出租车的拨号问题,有充电和放电法规
1School of Civil and Environmental Engineering, Cornell University, Ithaca, NY, 14853, USA. hs628@cornell.edu.
Scientific reports
|December 30, 2025
概括
这项研究将电动出租车 (ET) 与车辆到电网 (V2G) 功能相结合,用于发电网 (DN) 的灾难恢复. 混合规划方法优化出租车路线,增强电网安全性并减少网络攻击的脆弱性.
科学领域:
- 电气工程 电气工程
- 运输工程 运输工程
- 计算机科学 计算机科学
背景情况:
- 灾难场景对发电网 (DN) 的稳定性和安全性构成重大风险.
- 电动出租车 (ET) 通过车辆到电网 (V2G) 技术为电网支持提供了灵活的资源.
- 传统的恢复策略往往缺乏与移动能源资源和网络安全考虑的整合.
研究的目的:
- 为灾后发电网 (DN) 恢复提供电动出租车 (ET) 的综合战略建议.
- 通过协调充电/放电和优化出租车路线在范围限制下解决拨号乘车问题 (DARP).
- 通过积极的ET部署和网络重新配置来增强电网安全性和应对网络攻击的弹性.
主要方法:
- 制定了一项综合战略,结合路由,充电/放电法规和网络重新配置.
- 以V2G能力为模型,将这个问题描述为一个拨号乘车问题 (DARP).
- 实施网络拦截策略,以评估和减轻网络安全漏洞.
- 利用纽约出租车数据对拟议的混合计划方法进行实证验证.
主要成果:
- 混合规划方法在灾后恢复场景中表现出卓越的表现.
- 与其他审查的案例相比,实现了电动出租车 (ET) 最低的旅程总长度.
- 显著减少了电力负载流失,并最大限度地减少了系统节点对网络攻击的脆弱性.
- 强调了考虑路由,网络安全和电力流量的整体方法的重要性.
结论:
- 使用具有V2G能力的电动出租车 (ET) 的综合战略对于灾后发电网 (DN) 恢复是有效的.
- 积极的预定位和网络重新配置提高了电网的安全性和弹性.
- 混合规划方法为优化资源配置和减轻灾害场景中的风险提供了强大的解决方案.
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