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

• 批准号: 1440969
• 负责人: Srinivas Shakkottai
• 金额: $ 31.5万
• 依托单位: Texas A&M Engineering Experiment Station
• 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 2018-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1440969&HistoricalAwards=false
• 关键词: Collaborative; Research; RIPS; Type; Strategic

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的两个最关键的基础架构，是高度相互依存的，因为通信网络传输了电力网络元素的测量和控制数据，进而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，然后可以触发电力网络中的进一步失败，从而导致级联故障。 现有的模型和分析方法过多地简化了功率和通信网络之间的复杂相互关系，因此在处理级联网络压力方面无效。 该项目的目的是开发和验证一种从根本上进行新的范式，以捕获网络之间的相互依赖性的复杂性，以易于处理而准确的方式，并利用其预测能力来确定网络应力的结果，并通过增强关键网络元素来减轻级联的失败。 在这样做的同时，该项目使用游戏理论方法来解释社会经济动机，这些动机推动了由竞争市场实体拥有和运营的网络中的供应决策，这些市场也必须彼此合作，以实现整个电力通信网络系统的福祉。 该项目旨在在参与机构的研究生和本科课程发展活动中，尤其是将来自经济学和社会科学学科的学生聚集在一起，这些学科否则可能不会接触到能源和通信领域。 该项目朝着对相互依存的力量和通信网络的原则理解以及可用于增强其鲁棒性的实用解决方案的开发迈出了重要一步。 这项研究分为三个相互依存的推力区域：1）宏观分析和设计：该推力区域建立了基于基于布尔逻辑的创新方法的分析基础，基于基于布尔逻辑的有隐含的相互依存关系，以表征大规模势力和通信网络中不同网络实体之间的相互依赖性，从而涉及整个国家 /地区的整体网络及其对整体网络的影响。 这种方法的一个关键新颖性是将复杂的相互依赖性提炼成可用于做出故障恢复决策的分析障碍逻辑关系。2）微观级别的分析和设计：该推力区域深入研究了电源和通信系统的个体实体，例如系统控制器和发电机等人，以了解每个人的健康状况。 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.识别与每个操作员相关的实体在整体系统弹性上相关的实体的价值，激励它们使其硬化至关重要的实体，并建立交易资源交易的交换形成了本部分的关键方面。该项目的直接影响是在提供最大程度地提高电力和通信基础结构的弹性的关键问题上。 开发的分析方法也与其他异质相互依存网络有关。 该项目的教育方面是基于在工程学和社会科学提出的想法之间创造协同作用，并将其提供给广阔的学生。 特别关注为女性和少数族裔学生提供学习机会是进一步的优势。