Collaborative Research: Integrated Vulnerability-Reliability Modeling and Analysis of Cyber-Physical Power Systems

近年来，电网的复杂性显著增加，无论是在更多物理组件的互连方面，还是在部署更先进的监测和控制系统方面。电网已经严重依赖于支持通信基础设施的控制、监测和管理，包括监督控制和数据采集（SCADA）系统。该项目的目标是为现代电力系统开发一个全系统脆弱性-可靠性建模和评估框架，同时考虑到物理和网络领域的各种不确定性。该方法基于将网络脆弱性集成到电网可靠性模型中，并开发了有效计算脆弱性-可靠性复合指标的新方法。智力优势：该项目将开发分析和统计推理模型，用于跨控制网络的潜在恶意活动异常检测，以增强SCADA网络安全框架。将研究可信的情景及其失败的影响。通过考虑网络物理环境中的各种不确定性，风电场管理系统将被纳入整体系统脆弱性和可靠性的分析中。建模和评估网络物理电力系统整体可靠性的方法将以概率方式发展。还将开发新的可靠性测试系统，包括载流组件和网络组件。更广泛的影响：该项目将为网络物理能源基础设施的广泛脆弱性和可靠性问题提供关键知识。反过来，该项目将通过将我们的研究成果整合到本科和研究生的电力和能源课程和课程中，加速技术发展，培养合格的劳动力，促进代表性不足的群体的参与，从而为社会和整个国家带来深远的利益。电力和能源工程界将受益于我们的研究成果在主要期刊、会议、研讨会、互联网、短期课程和教程上的广泛传播。

The complexity of power grids has significantly increased in recent years, both in terms of the interconnection of more physical components and the deployment of more advanced monitoring and control systems. The grid has become critically dependent on the supporting communication infrastructure for control, monitoring and management, including supervisory control and data acquisition (SCADA) systems. The objective of this project is to develop a system-wide vulnerability-reliability modeling and evaluation framework for modern power systems, taking into account various uncertainties from both physical and cyber domains. The approach is based on the integration of cyber vulnerability into the power grid reliability model and the development of new methodologies for efficiently calculating composite vulnerability-reliability indices. Intellectual Merit: This project will develop analytical and statistical inference models for anomaly detection of potential malicious activities across control networks for an enhanced SCADA cybersecurity framework. Credible scenarios and the impact of their failures will be examined. Wind-farm management systems will be incorporated into the analysis of overall system vulnerability and reliability by accounting for various uncertainties in a cyber-physical environment. Methodologies to model and evaluate the overall reliability of cyber-physical power systems will be developed in a probabilistic manner. New reliability test systems, including current-carrying components and cyber components, will also be developed.Broader Impacts: The project will generate critical knowledge for a broad spectrum of vulnerability-reliability issues in cyber-physical energy infrastructures. In turn, this project will yield far-reaching benefits for society and the nation as a whole by accelerating technological development, training a well-qualified workforce, and promoting participation of underrepresented groups through the integration of our research results into undergraduate and graduate power and energy courses and curriculum. The power and energy engineering community will benefit from broad dissemination of our research findings in leading journals, conferences, workshops, the Internet, short courses and tutorials.