Co-optimization approach to post-storm recovery for interdependent power and transportation systems
Co-optimization approach to post-storm recovery for interdependent power and transportation systems
复制标题
相互依赖的电力和运输系统风暴后恢复的协同优化方法
DOI：
10.1007/s40565-019-0524-7
复制
发表时间：
2019
影响因子：
6.3
通讯作者：
YE, Hongxing
中科院分区：
文献类型：
--
作者：
GE, Yinyin;DU, Lili;YE, Hongxing
电力和交通系统是城市相互依赖的关键基础设施。在灾后恢复过程中，交通流动性和电力恢复过程是相互依赖的，其功能显著影响其他城市CI的其他福祉。因此，为了提高城市CI的弹性，成功的恢复策略应该促进CI功能的合作和协同有效地分配商品和服务。本文提出了一个综合框架，解决了在短期恢复期内提高城市电力和交通系统的恢复效率的挑战。具体来说，风暴后的恢复过程被认为是一个调度问题下的约束代表船员派遣，设备和燃料的限制。我们提出了一个新的框架，共同优化电力和交通系统的恢复调度，尊重优先要求和网络约束。在一个测试系统中验证了协同优化恢复调度的优点和好处。
The power and transportation systems are urban interdependent critical infrastructures (CIs). During the post-disaster restoration process, transportation mobility and power restoration process are interdependent, and their functionalities significantly affect other well-beings of other urban CIs. Therefore, to enhance the resilience of urban CIs, successful recovery strategies should promote CI function cooperatively and synergistically to distribute goods and services efficiently. This paper develops an integrative framework that addresses the challenges of enhancing the recovery efficiency of urban power and transportation systems in short-term recovery period. Specifically, the post-storm recovery process is considered as a scheduling problem under the constraints representing crew dispatch, equipment and fuel limit. We propose a new framework for co-optimizing the recovery scheduling of power and transportation systems, respecting precedency requirement and network constraints. The advantages and benefits of co-optimized recovery scheduling are validated in a testing system.
DOI：
--
发表时间：
2009
期刊：
影响因子：
--
作者：
Wallied Orabi;K. El;A. Senouci;Hassan Al
通讯作者：
Hassan Al
DOI：
--
发表时间：
2010
期刊：
影响因子：
--
作者：
A. Golroo;A. S. Mohaymany;M. Mesbah
通讯作者：
M. Mesbah