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

合作研究：信息物理电力系统综合脆弱性-可靠性建模与分析

• 批准号: 1128594
• 负责人: Lingfeng Wang
• 金额: $ 20万
• 依托单位: University of Toledo
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-06-01 至 2015-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1128594&HistoricalAwards=false
• 关键词: Collaborative; Research; Integrated; Vulnerability; Reliability

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.

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。电网已经变得严重依赖于用于控制、监测和管理的支持通信基础设施，包括监控和数据采集（SCADA）系统。该项目的目标是为现代电力系统开发一个系统范围的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。该方法是基于网络的脆弱性集成到电网可靠性模型和新的方法的发展，有效地计算复合可靠性指标。智力优势：该项目将开发分析和统计推理模型，用于对控制网络中的潜在恶意活动进行异常检测，以增强SCADA网络安全框架。将审查可信的情景及其失败的影响。风电场管理系统将通过考虑网络物理环境中的各种不确定性，纳入对整个系统脆弱性和可靠性的分析。将以概率的方式开发建模和评估网络物理电力系统整体可靠性的方法。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中的广泛的可扩展性-可靠性问题提供关键知识。反过来，该项目将产生深远的利益，为社会和国家作为一个整体，通过加速技术发展，培养一支合格的劳动力，并通过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，促进代表性不足的群体的参与。电力和能源工程界将受益于我们的研究成果在领先的期刊，会议，研讨会，互联网，短期课程和教程的广泛传播。