期刊
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
卷 69, 期 3, 页码 639-655出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TEM.2019.2937728
关键词
Resilience; Measurement; Indexes; Power systems; Real-time systems; Cooling; Optimization; Electric power system (EPS); extended time-domain simulations; infrastructural resilience (IR); operational resilience (OR); real-time operations; water distribution systems (WDS); water energy nexus
资金
- U.S. National Science Foundation (NSF) [029013-0010, 1541026]
- CRISP Type 2-Resilient Cyber-Enabled Electric Energy and Water Infrastructures: Modeling and Control under Extreme Mega Drought Scenarios
- National Science Foundation [026257-001]
- Directorate For Engineering
- Div Of Chem, Bioeng, Env, & Transp Sys [1541026] Funding Source: National Science Foundation
This paper presents new metrics and methodology for determining the optimal real-time operation of critical interdependent infrastructure systems under limited resources. The integrated resilience computation method captures the interactions and dynamics between the two systems and assesses their performance using a combined optimization-simulation framework.
New metrics and a new methodology for determining system infrastructural-operational resilience are presented for the optimal real-time operation of two critical interdependent infrastructure systems-the water distribution systems (WDS) and the electric power system (EPS) under critical conditions of limited water and/or limited electrical energy resulting from extreme drought or electric grid failure, respectively. Operational resilience (OR) and infrastructural resilience are defined. The integrated resilience computation method is presented and utilizes results from a combined optimization-simulation framework, which involves capturing the interactions and associated dynamics between the EPS and WDS. A realistic example of the WDS and EPS is used to demonstrate the application of the resilience concepts to assess the interdependent systems' performance.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据