CPS:MEDIUM:A Computing Framework for Distributed Decision Making to Ensure Robustness of Complex Man-Made Network Systems: The Case of the Electric Power Networks

该奖项是根据2009年美国复苏和再投资法案（公法111-5）资助的。这项研究的目标是开发方法来监控和确保一类称为“物理网络”的网络物理系统的健壮性，如电力，水，污水和天然气网络。 该方法是使用图形模型的数学形式来分析这样的网络。该项目将物理网络建模为图形，其变量具有具体的物理解释，例如电压，满足已知的物理定律，例如基尔霍夫定律。 图形模型的机器被用来开发方法来监控和确保这些网络的鲁棒性，使用电力网络作为代表。 通过研究令人困惑的网络范围内的相互作用，该项目有可能澄清复杂性在大规模网络中的作用。 物理网络在现代社会中发挥着至关重要的作用，但是，物理网络经常表现出脆弱的行为，如电力网络的停电，导致经济损失，并造成安全风险。 该项目旨在了解此类网络的鲁棒性行为，并在理论和实践方面培养广泛的学生。 这项研究的结果将纳入课程，并通过研究出版物传播。 卡内基梅隆大学电力行业会议允许学生与教师和电力行业的退伍军人互动。 与电力行业的互动旨在为其提供对网络智能的理解，以确保电网的有效鲁棒性监测能力。

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).The objective of this research is to develop methods to monitor and ensure the robustness of a class of cyber-physical systems termed "physical networks," such as electric, water, sewage, and gas networks. The approach is to analyze such networks using the mathematical formalism of graphical models.The project models a physical network as a graph, whose variables have a concrete physical interpretation, such as voltage, satisfying known physical laws, such as Kirchoff laws. The machinery of graphical models is used to develop methods to monitor and ensure the robustness of such networks, using the electric power network as a representative. By studying puzzling network-wide interactions, the project has the potential to clarify the role of complexity in large scale networks. Potential contributions will be made to the fields of distributed inference algorithms and fast numerical methods.Physical networks play a crucial role in modern society, and yet, often exhibit fragile behavior, such as black-outs in electric power networks, resulting in economic loss, as well as causing a security risk. This project seeks to understand the robustness behavior of such networks and to train a broad class of students in their theory and practice. Results from this research are to be incorporated into courses and disseminated via research publications. The Carnegie Mellon Conference on the Electricity Industry allows students to interact with faculty and electricity industry veterans. Interaction with the electricity industry aims to provide it with an understanding of cyber-intelligence, to ensure effective robustness monitoring capabilities in the power grid.