Collaborative Research: RIPS Type 2: Strategic Analysis and Design of Robust and Resilient Interdependent Power and Communication Networks

合作研究:RIPS 类型 2:稳健且有弹性的相互依赖的电力和通信网络的战略分析和设计

基本信息

  • 批准号:
    1441214
  • 负责人:
  • 金额:
    $ 31.5万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2014
  • 资助国家:
    美国
  • 起止时间:
    2014-11-01 至 2019-09-30
  • 项目状态:
    已结题

项目摘要

Power and communication networks, arguably the two most critical infrastructures of the nation, are highly interdependent in that communication networks transport measurement and control data of power network elements, and in turn require reliable power supplies to operate successfully. Hence, an initial failure in the power network can trigger failures in the communication network, which can then trigger further failures in the power network, thus resulting in a cascading failure. Existing models and analytical methods oversimplify the complex inter-relationships between power and communications networks, and hence are ineffective in dealing with cascading network stresses. The goal of this project is to develop and validate a fundamentally new paradigm for capturing the complexity of interdependency between networks in a tractable yet accurate manner, and to utilize its predictive power to determine outcomes of network stresses and to provide prescriptive solutions to mitigate cascading failures by strengthening critical network elements. While doing so, the project uses game theoretical methods to account for the socio-economic motivations that drive provisioning decisions in networks that are owned and operated by competing market entities that also have to cooperate with each other for the well-being of the entire power-communication network system. The project aims at both graduate and undergraduate curriculum development activities at the participating institutions, particularly at bringing together students from economics and social sciences disciplines that may not otherwise be exposed to the energy and communications domain. The project takes an important step towards the principled understanding of the interdependent power and communication networks, and the development of practical solutions that can be used to enhance their robustness. The research is organized into three interdependent thrust areas:1) Macro-level Analysis and Design: This thrust area establishes the analytical foundations of an innovative methodology based on Boolean logic based implicative interdependency relations to characterize interdependency between different network entities in large scale power and communication networks spanning the entire country, and its impact on overall network resilience. A key novelty of this approach is to distill complex interdependencies into analytically tractable logical relationships that can be used to make failure recovery decisions.2) Micro-level Analysis and Design: This thrust area delves deep into individual entities of the power and communication systems, such as system controllers and power generators, to understand how the health of each is affected by prevailing conditions. Constructing realistic graphs across different system entities and observing the cascade of events across the network through detailed simulations yield insights on the dependability of each constituent entity.3) Socio Economic Analysis: Given that the network/utility operators have different motivations, this thrust transforms technical insights into applicable policy decisions based on game theory and surveys/interviews conducted with the stakeholders for socio-economic analysis. Identifying value of the entities associated with each operator on overall system resilience, incentivizing them to harden crucial ones, and creation of an exchange to trade in resources form the key aspects of this part.The direct impact of this project is on providing recommendations on the critical issue of how best to enhance the resilience of power and communication infrastructure. The analytical methodology developed is also relevant to other heterogeneous interdependent networks. The educational aspect of the project is based around creating synergies between ideas drawn from engineering and the social sciences and making these available to a broad-spectrum of students. A special focus on providing learning opportunities to female and minority students is a further strength.
电力和通信网络可以说是国家最重要的两个基础设施,它们高度相互依赖,因为通信网络传输电力网络元件的测量和控制数据,而反过来又需要可靠的电源才能成功运行。 因此,电力网络中的初始故障可以触发通信网络中的故障,然后通信网络中可以触发电力网络中的进一步故障,从而导致级联故障。 现有的模型和分析方法过于简单化了电力和通信网络之间复杂的相互关系,因此无法有效处理级联网络压力。 该项目的目标是开发和验证一种全新的范例,以易于处理且准确的方式捕获网络之间相互依赖的复杂性,并利用其预测能力来确定网络压力的结果,并提供规范的解决方案来减轻级联故障通过加强关键网络要素。 在此过程中,该项目使用博弈论方法来解释社会经济动机,这些动机推动了由竞争性市场实体拥有和运营的网络中的供应决策,这些实体也必须为了整个权力的福祉而相互合作-通讯网络系统。 该项目旨在参与机构的研究生和本科生课程开发活动,特别是将来自经济和社会科学学科的学生聚集在一起,否则这些学生可能不会接触能源和通信领域。 该项目朝着对相互依赖的电力和通信网络的原则性理解以及开发可用于增强其稳健性的实用解决方案迈出了重要一步。 该研究分为三个相互依赖的主旨领域:1)宏观层面的分析和设计:该主旨领域建立了基于布尔逻辑的隐含相互依赖关系的创新方法的分析基础,以表征大规模电力和网络中不同网络实体之间的相互依赖关系。覆盖全国的通信网络及其对整体网络弹性的影响。 这种方法的一个关键新颖之处在于,将复杂的相互依赖关系提炼成可分析处理的逻辑关系,可用于做出故障恢复决策。2) 微观分析和设计:该重点领域深入研究电力和通信系统的各个实体,例如系统控制器和发电机,以了解当前条件如何影响它们的健康状况。在不同的系统实体之间构建真实的图表,并通过详细的模拟观察整个网络中的事件级联,可以深入了解每个组成实体的可靠性。3) 社会经济分析:鉴于网络/公用事业运营商有不同的动机,这一推动力转变了技术基于博弈论和与利益相关者进行的调查/访谈以进行社会经济分析,深入了解适用的政策决策。识别与每个运营商相关的实体对整体系统弹性的价值,激励他们强化关键系统,以及创建资源交易交易所构成了这一部分的关键方面。该项目的直接影响是提供有关系统弹性的建议。如何最好地增强电力和通信基础设施的弹性是一个关键问题。 所开发的分析方法也与其他异构相互依赖的网络相关。 该项目的教育方面是基于在工程和社会科学的想法之间创造协同作用,并将其提供给广泛的学生。 特别注重为女性和少数民族学生提供学习机会是另一个优势。

项目成果

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Arunabha Sen其他文献

On a fault-tolerant resource allocation scheme for revenue maximization in data centers
数据中心收入最大化的容错资源分配方案
Beyond connectivity - new metrics to evaluate robustness of networks
超越连接性——评估网络稳健性的新指标
Cooperative Driving of Connected Autonomous Vehicles Using Responsibility Sensitive Safety Rules by Harshith Allamsetti A Thesis Presented in Partial Fulfillment of the Requirements for the Degree Master of Science Approved June 2020 by the Graduate Supervisory Committee: Aviral Shrivastava, Chair
Harshith Allamsetti 的《使用责任敏感安全规则的互联自动驾驶车辆协同驾驶》部分满足理学硕士学位要求的论文,由研究生监事委员会于 2020 年 6 月批准:Aviral Shrivastava,主席
gStreams: A New Technique for Fast Recovery with Capacity Efficient Protection in WDM Mesh Networks
gStreams:WDM 网状网络中快速恢复和容量高效保护的新技术
Detecting Hidden Information in Images : A Comparative Study
检测图像中的隐藏信息:比较研究
  • DOI:
  • 发表时间:
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Ya;Huan Liu;Avinash Ramineni;Arunabha Sen
  • 通讯作者:
    Arunabha Sen

Arunabha Sen的其他文献

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{{ truncateString('Arunabha Sen', 18)}}的其他基金

Special Project: 1999 International Workshop on Discrete Algorithms and Methods for Mobile Computing and Communications
特别项目:1999年移动计算和通信离散算法与方法国际研讨会
  • 批准号:
    9908084
  • 财政年份:
    1999
  • 资助金额:
    $ 31.5万
  • 项目类别:
    Standard Grant

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合作研究:RIPS 类型 1:评估基础设施弹性的人文地理学主题
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  • 批准号:
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