K. Chen, Cedric A. C. Heckel-Jones, Nicholas G. Maupin, Samuel M. Rubin, Joshua Bogdanor, Zhenyu Guo, Y. Haimes
{"title":"Risk analysis of GPS-dependent critical infrastructure system of systems","authors":"K. Chen, Cedric A. C. Heckel-Jones, Nicholas G. Maupin, Samuel M. Rubin, Joshua Bogdanor, Zhenyu Guo, Y. Haimes","doi":"10.1109/SIEDS.2014.6829911","DOIUrl":null,"url":null,"abstract":"The Department of Energy seeks to modernize the U.S. electric grid through the SmartGrid initiative, which includes the use of Global Positioning System (GPS)-timing dependent electric phasor measurement units (PMUs) for continual monitoring and automated controls. The U.S. Department of Homeland Security is concerned with the associated risks of increased utilization of GPS timing in the electricity subsector, which could in turn affect a large number of electricity-dependent Critical Infrastructure (CI) sectors. Exploiting the vulnerabilities of GPS systems in the electricity subsector can result to large-scale and costly blackouts. This paper seeks to analyze the risks of increased dependence of GPS into the electric grid through the introduction of PMUs and provides a systems engineering perspective to the GPS-dependent System of Systems (S-o-S) created by the SmartGrid initiative. The team started by defining and modeling the S-o-S followed by usage of a risk analysis methodology to identify and measure risks and evaluate solutions to mitigating the effects of the risks. The team expects that the designs and models resulting from the study will prove useful in terms of determining both current and future risks to GPS-dependent CIs sectors along with the appropriate countermeasures as the United States moves towards a SmartGrid system.","PeriodicalId":441073,"journal":{"name":"2014 Systems and Information Engineering Design Symposium (SIEDS)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Systems and Information Engineering Design Symposium (SIEDS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIEDS.2014.6829911","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The Department of Energy seeks to modernize the U.S. electric grid through the SmartGrid initiative, which includes the use of Global Positioning System (GPS)-timing dependent electric phasor measurement units (PMUs) for continual monitoring and automated controls. The U.S. Department of Homeland Security is concerned with the associated risks of increased utilization of GPS timing in the electricity subsector, which could in turn affect a large number of electricity-dependent Critical Infrastructure (CI) sectors. Exploiting the vulnerabilities of GPS systems in the electricity subsector can result to large-scale and costly blackouts. This paper seeks to analyze the risks of increased dependence of GPS into the electric grid through the introduction of PMUs and provides a systems engineering perspective to the GPS-dependent System of Systems (S-o-S) created by the SmartGrid initiative. The team started by defining and modeling the S-o-S followed by usage of a risk analysis methodology to identify and measure risks and evaluate solutions to mitigating the effects of the risks. The team expects that the designs and models resulting from the study will prove useful in terms of determining both current and future risks to GPS-dependent CIs sectors along with the appropriate countermeasures as the United States moves towards a SmartGrid system.
美国能源部寻求通过智能电网计划实现美国电网的现代化,其中包括使用全球定位系统(GPS)-定时相关的电相量测量单元(pmu)进行持续监测和自动控制。美国国土安全部(Department of Homeland Security)担心GPS授时在电力行业的使用增加带来的相关风险,这可能反过来影响大量依赖电力的关键基础设施(CI)部门。利用电力分部门GPS系统的漏洞可能导致大规模和昂贵的停电。本文试图通过引入pmu来分析GPS对电网依赖性增加的风险,并为智能电网倡议创建的依赖GPS的系统系统(S-o-S)提供系统工程视角。团队首先定义和建模S-o-S,然后使用风险分析方法来识别和度量风险,并评估解决方案以减轻风险的影响。研究小组希望,研究得出的设计和模型将在确定依赖gps的ci部门当前和未来的风险方面证明是有用的,同时在美国向智能电网系统迈进的过程中,还能提出适当的对策。