紧急情况下基于人类安全的交通-电力网络电动汽车疏散:两阶段响应框架

IF 4.2 1区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY
Yuqian Cao , Xiao Xu , Yichen Luo , Yue Xiang , Youbo Liu , Weihao Hu , Junyong Liu
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引用次数: 0

摘要

电动汽车(EV)的普及以及交通与电网之间日益加深的相互联系,提高了交通-电力耦合网络(TPN)的复杂性和脆弱性。在紧急情况下,电动汽车疏散会对 TPN 产生巨大的动态压力。本文提出了一个基准可重现的两阶段应急响应框架。在第一阶段,我们利用基于代理的建模方法,开发了一个名为电动汽车疏散综合仿真模型(EVEISM)的综合仿真平台。代理模型与基于地理信息系统的环境模型之间的交互捕捉了电动汽车在整个疏散期间的行为,包括疏散前和疏散后的充电、接收通知、目的地决策、规划路线以规避风险以及交通动态。在第二阶段,利用 EVEISM 的结果增强态势感知,进行移动储能系统(MESS)的战略预定位和优化路由选择。建立了一个混合整数二阶圆锥编程模型,用于多电源协调响应,动态调度 MESS。以有毒气体泄漏为例,对运输-电力系统耦合进行了案例研究。数值结果证明了该方法在确保居民安全疏散和优化协调响应以提高系统安全性和经济效益方面的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Human-safe based electric vehicle evacuation in transportation-power networks during emergencies: A two-stage response framework
The proliferation of electric vehicles (EVs) and the deepening interconnection between transportation and the power grid have heightened the complexity and vulnerability of the coupling transportation-power networks (TPNs). EV evacuation can exert significant dynamic pressure on the TPNs during emergencies. This article presents a baseline reproducible two-stage emergency response framework. In the first stage, we develop a platform for the comprehensive simulation called EV evacuation integrated simulation model (EVEISM), utilizing agent-based modeling. The interaction between the agent models and the GIS-based environment models captures the behavior of EVs in the complete evacuation period, including pre-evacuation and post-evacuation charging, receiving notifications, making destination decisions, planning routes to avoid risks, and traffic dynamics. In the second stage, leveraging EVEISM results to enhance situational awareness, strategic pre-positioning of mobile energy storage systems (MESS) and optimal routing are conducted. A mixed-integer second-order cone programming model is established for the coordinated response of multiple power sources to dispatch MESS dynamically. Case studies are conducted on coupling transportation-power systems, exemplified through the toxic gas leak scenario. The numerical results demonstrate the method's effectiveness in ensuring the safe evacuation of residents and optimizing coordinated response to enhance the system's safety and economic efficiency.
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来源期刊
International journal of disaster risk reduction
International journal of disaster risk reduction GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
8.70
自引率
18.00%
发文量
688
审稿时长
79 days
期刊介绍: The International Journal of Disaster Risk Reduction (IJDRR) is the journal for researchers, policymakers and practitioners across diverse disciplines: earth sciences and their implications; environmental sciences; engineering; urban studies; geography; and the social sciences. IJDRR publishes fundamental and applied research, critical reviews, policy papers and case studies with a particular focus on multi-disciplinary research that aims to reduce the impact of natural, technological, social and intentional disasters. IJDRR stimulates exchange of ideas and knowledge transfer on disaster research, mitigation, adaptation, prevention and risk reduction at all geographical scales: local, national and international. Key topics:- -multifaceted disaster and cascading disasters -the development of disaster risk reduction strategies and techniques -discussion and development of effective warning and educational systems for risk management at all levels -disasters associated with climate change -vulnerability analysis and vulnerability trends -emerging risks -resilience against disasters. The journal particularly encourages papers that approach risk from a multi-disciplinary perspective.
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