Collaborative Research: EAGER: Evaluation Methodology for Resilient and Sustainability of Complex Power-Communication Networks

该项目研究分布式资源互连网络的可持续性和弹性。 特别关注电力网络和通信网络及其相互依赖性。 该项目旨在制定一种以先到先得的方式部署分布式资源的方案。 这种方案需要有效的优化算法，在给定经济、技术和互操作性约束的情况下选择可行的分布式资源。 该方案考虑了互联网络上的资源冲突和拥塞。 努力包括开发分布式资源网络的模型和指标，开发用于评估的计算平台，以及可视化性能和交互。在智力方面，该项目在电力网络研究和通信网络弹性研究之间建立了协同作用。 该项目研究互连分布式网络的优化方法和连接方案及其相关的弹性和可持续性。 该研究方法依赖于寻找分布式资源互连网络的一般原理和方法。 先前灾害情况的数据用于评估所提出的方法。就更广泛的影响而言，该项目有潜力提高电力网络和通信网络这两种重要类型的关键基础设施的可持续性和弹性。 参与该项目的研究生接受本研究所需的跨学科教育。 该项目促进了两名教职人员之间的跨学科和跨机构研究合作。

This project investigates the sustainability and resiliency of interconnected networks of distributed resources. The particular focus is on electric power networks and communication networks and their interdependencies. The project seeks to develop a scheme for the deployment of distributed resources on a first-come, first-served basis. Such a scheme requires efficient optimization algorithms that select which distributed resource is feasible given economic, technological, and interoperability constraints. The scheme considers resource conflicts and congestion on the interconnection network. Efforts include developing models and metrics for networks of distributed resources, developing a computational platform for evaluation, and visualizing performance and interactions.With respect to intellectual merit, the project develops a synergy between research on electric power networks and the resiliency of communication networks. The project examines optimization methods and connection schemes for interconnected distributed networks and their associated resiliency and sustainability. The research approach relies on finding general principles and methods for interconnected networks of distributed resources. Data from prior disaster situations is used to evaluate the proposed approaches.With respect to broader impacts, the project has the potential to improve the sustainability and resiliency of two important types of critical infrastructures, electric power networks and communication networks. Graduate students involved in the project receive the cross-disciplinary education necessary for this research. The project facilitates cross-disciplinary and cross-institutional research collaboration between two faculty members.