CRISP Type 2: Resilient Cyber-Enabled Electric Energy and Water Infrastructures: Modeling and Control under Extreme Mega Drought Scenarios

CRISP 类型 2：弹性网络支持的电力能源和水利基础设施：极端特大干旱情景下的建模和控制

• 批准号: 1541026
• 负责人: Vijay Vittal
• 金额: $ 147.89万
• 依托单位: Arizona State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-08-01 至 2019-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1541026&HistoricalAwards=false
• 关键词: CRISP; Type; Resilient; Cyber; Enabled

1541026 (Vittal). Resilient, reliable and efficient critical infrastructures are essential for the prosperity and advancement of modern society. The electric power grid and the water distribution system are among the most critical infrastructures. They are highly automated and interdependent. A range of sensors, communication resources, control and information systems together form the cyber networks that are an integral part of these infrastructures and contribute to their efficient, reliable, and safe operation. This project will (1) build mathematical models capturing the interdependencies between the electric and water systems and simulate their operation in time, (2) develop innovative behavioral models of consumer demand for electricity and water under extreme scenarios, (3) simulate demand under these extreme scenarios and propose control actions to mitigate detrimental impacts, and (4) enable internetworking between the cyber systems of the two infrastructures using middleware gateway deployment and emulate it in simulation to determine the effect of the shared information from sensors on the control actions under the extreme scenarios. With the predicted mega droughts in the southwest, an interdependent model as proposed is expected to significantly benefit electric and water utilities by enhancing their ability to perform scenario analysis coupled with consumer usage data to determine the impacts of severe droughts on each of the infrastructure systems and benefit society at large. Interdependent control of the two systems will help optimize water usage and electricity production to cope with severe environmental conditions. A clear understanding of the factors that impact behavioral responses to water and electricity use under extreme conditions will inform governments, suppliers, and the public about effective methods to address real-world challenges such as mega droughts. Findings of this work, including a test best based on realistic data, will suggest strategies for informing social practices and behavioral changes in conserving electricity and water resources. These capabilities could provide significant benefits to nations across the world and enhance sustainability of scarce natural resources.The project will develop a system dynamics-based mathematical model of two interdependent critical infrastructure systems, namely electric energy and water supply, and identify key interdependencies between the two systems. The overarching goal of the research is to transform interdependent but "independently operated" infrastructure systems of today into resilient infrastructures, through efficient information exchange enabled by inter-networking that can handle forecasted extreme scenarios using innovative behavioral models of consumer demand and sophisticated control. The following research and educational tasks are included. Task 1: Development of a system dynamics based mathematical model of the interdependent infrastructures. (a) Electric infrastructure, (b) Water delivery and treatment infrastructure, (c) Identification of their interdependencies, and (d) Simulation of interdependent systems. Task 2: Extreme Scenario, social/behavioral model based contingency selection and analysis (a) Behavioral model of consumer demand of commodities supplied by infrastructure under extreme scenarios. (b) Risk assessment of interdependent system and contingency selection for extreme scenarios. (c) Analysis of model under extreme scenarios and associated contingencies. Task 3: Analysis and control of interdependent infrastructures (a) Formulation of interdependent control, (b) Implementation and simulation of designed control, (c) Examination of the ability of control to mitigate detrimental effects of extreme scenarios. Task 4: Optimal middleware gateway deployment for inter-networking between infrastructure information systems (a) Middleware development and emulation, (b) Control implementation with middleware-enabled shared information and comparison of control efficacy with the independent information setting in Task 3. Educational outreach integrates research into education and outreach by (i) Interdisciplinary graduate course offering, (ii) Short course and webinars for industry partners, (iii) Self-study modules on interdependent infrastructures and (iv) Web based module development of extreme scenarios and operation of infrastructure systems for K-12 students.

1541026（Vittal）。韧性，可靠和有效的关键基础设施对于现代社会的繁荣和发展至关重要。电力电网和水分配系统是最关键的基础设施之一。它们是高度自动化和相互依存的。一系列传感器，通信资源，控制和信息系统共同构成了网络网络，这些网络是这些基础架构不可或缺的一部分，并有助于其高效，可靠和安全的操作。该项目将（1）构建数学模型，以捕获电动和供水系统之间的相互依赖性并及时模拟其操作，（2）在极端情况下开发了对消费者对电力和水的需求的创新行为模型，（（3）在这些极端情况下进行模拟需求，并在这些极端情况下模拟需求，并提出控制措施，以减轻损失的影响和（4）在互联网上进行互联网以及（4）在互联网之间进行互联网，并（4）在模拟中，它可以确定传感器中共享信息对极端情况下的控制动作的影响。随着西南预测的大型干旱，提出的相互依存模型预计将通过增强其执行情景分析的能力以及消费者使用数据来显着使电力和水电图受益匪浅，从而确定严重干旱对每个基础设施系统的影响，并在整个社会中受益。对这两个系统的相互依存控制将有助于优化用水和电力生产，以应对严重的环境条件。清楚地了解影响极端条件下对水和用电的行为反应的因素将为政府，供应商和公众提供有关应对现实世界挑战（例如大型干旱）的有效方法。这项工作的结果，包括基于现实数据的最佳测试，将提出为节约电力和水资源的社会实践和行为变化提供信息的策略。这些能力可以为全世界的国家带来重大好处，并增强自然资源的稀缺可持续性。该项目将开发一个基于系统动态的数学模型，该模型是两个相互依存的关键基础设施系统，即电力和水供应，并确定两个系统之间的关键相互依存关系。该研究的总体目标是通过通过网络中的有效信息交换来将当今的相互依存但“独立操作”的基础架构系统转变为弹性的基础架构，这些信息交换可以通过消费者需求和复杂控制控制的创新性行为模型来处理预测的极端情况。包括以下研究和教育任务。任务1：基于系统动力学的相互依赖基础架构的数学模型的开发。 （a）电力基础设施，（b）水和处理基础设施，（c）识别其相互依赖性，以及（d）相互依存系统的模拟。任务2：极端情况，基于社会/行为模型的基于社会/行为模型的选择和分析（a）在极端情况下基础设施提供的商品的消费者需求的行为模型。 （b）对极端情况的相互依存系统和应急选择的风险评估。 （c）在极端情况和相关意外情况下对模型的分析。任务3：相互依存的基础架构的分析和控制（a）相互依存控制的公式，（b）对设计控制的实现和模拟，（c）检查控制能力减轻极端情况的有害影响的能力。任务4：最佳中间件网关部署基础架构信息系统之间的网络间部署（a）中间软件开发和仿真，（b）控制实施的控制实施，并具有启用中间件的共享信息，并将控制功效与任务中的独立信息设置相比。相互依存的基础架构和（iv）基于Web的模块开发极端方案的模块开发和K-12学生的基础架构系统的操作。