Risk assessment framework for power control systems with PMU-based intrusion response system
作者机构：Department of Electrical and Computer EngineeringIowa State UniversityAmesIA 50011USA Market EngineeringMISOCarmelIN 46032USA School of Electrical Engineering and Computer ScienceWashington State UniversityPullmanWA 99165USA NARI Technology Co.Ltd.Nanjing 211106China
出 版 物：《Journal of Modern Power Systems and Clean Energy》 (现代电力系统与清洁能源学报（英文）)
年 卷 期：2015年第3卷第3期
页 面：321-331页
核心收录：
学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）]
主 题：Cyber security Supervisory control and data acquisition(SCADA) Risk assessment Intrusion response system(IRS) Conditional Lyapunov exponents(CLEs) Phasor measurement unit(PMU) Voltage instability
摘 要：Cyber threats are serious concerns for power *** example,hackers may attack power control systems via interconnected enterprise *** paper proposes a risk assessment framework to enhance the resilience of power systems against cyber *** duality element relative fuzzy evaluation method is employed to evaluate identified security vulnerabilities within cyber systems of power systems *** attack graph is used to identify possible intrusion scenarios that exploit multiple *** intrusion response system(IRS)is developed to monitor the impact of intrusion scenarios on power system dynamics in real *** calculates the conditional Lyapunov exponents(CLEs)on line based on the phasor measurement unit *** system stability is predicted through the values of *** actions based on CLEs will be suggested if power system instability is likely to happen.A generic wind farm control system is used for case *** effectiveness of IRS is illustrated with the IEEE 39 bus system model.
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