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（维塔尔）。有弹性、可靠和高效的关键基础设施对于现代社会的繁荣和进步至关重要。电网和供水系统是最关键的基础设施之一。它们高度自动化且相互依赖。一系列传感器、通信资源、控制和信息系统共同构成了网络，它们是这些基础设施不可或缺的一部分，有助于其高效、可靠和安全的运行。该项目将（1）建立数学模型，捕捉电力和供水系统之间的相互依赖性并及时模拟其运行，（2）开发极端情况下消费者对电力和水的需求的创新行为模型，（3）模拟这些情况下的需求极端场景并提出控制措施以减轻有害影响，以及（4）使用中间件网关部署在两个基础设施的网络系统之间实现互联，并进行模拟仿真，以确定来自传感器的共享信息对控制措施的影响极端场景。由于预计西南地区将发生特大干旱，所提出的相互依存模型预计将大大有利于电力和水务公司，通过增强其执行情景分析的能力，结合消费者使用数据来确定严重干旱对每个基础设施系统和系统的影响。造福整个社会。两个系统的相互控制将有助于优化用水和电力生产，以应对恶劣的环境条件。清楚地了解极端条件下影响水电使用行为反应的因素，将为政府、供应商和公众提供应对特大干旱等现实世界挑战的有效方法。这项工作的结果，包括基于实际数据的最佳测试，将为节约电力和水资源方面的社会实践和行为改变提供信息建议。这些能力可以为世界各国带来重大利益，并增强稀缺自然资源的可持续性。该项目将为两个相互依赖的关键基础设施系统（即电力和供水）开发一个基于系统动力学的数学模型，并确定这两个系统之间的关键相互依赖关系。两个系统。该研究的总体目标是通过互联网络实现有效的信息交换，将当今相互依赖但“独立运行”的基础设施系统转变为有弹性的基础设施，可以使用消费者需求的创新行为模型和复杂的控制来处理预测的极端场景。包括以下研究和教育任务。任务 1：开发基于系统动力学的相互依赖基础设施的数学模型。 (a) 电力基础设施，(b) 供水和处理基础设施，(c) 确定其相互依赖性，以及 (d) 模拟相互依赖性系统。任务2：极端场景，基于社会/行为模型的意外事件选择和分析（a）极端场景下基础设施提供的商品的消费者需求的行为模型。 (b) 相互依存系统的风险评估和极端情景的应急选择。 (c) 极端情景和相关突发事件下的模型分析。任务 3：相互依存基础设施的分析和控制 (a) 相互依存控制的制定，(b) 设计控制的实施和模拟，(c) 检查控制减轻极端情景有害影响的能力。任务 4：基础设施信息系统之间互连的最佳中间件网关部署 (a) 中间件开发和仿真，(b) 通过中间件启用的共享信息进行控制实施，并将控制效果与任务 3 中的独立信息设置进行比较。 教育推广通过以下方式将研究整合到教育和推广中：(i) 提供跨学科研究生课程，(ii) 为行业合作伙伴提供短期课程和网络研讨会，(iii) 关于相互依赖的基础设施的自学模块，以及 (iv) 基于网络的极端场景模块开发以及 K-12 学生基础设施系统的运营。