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Coordinated Cyber Security Enhancement for Grid-Transportation Systems With Social Engagement

文献类型：期刊论文

作者Zhao, Pengfei1,6; Li, Shuangqi4,5; Hu, Paul Jen-Hwa3; Cao, Zhidong1,6; Gu, Chenghong5; Xie, Da2; Zeng, Daniel Dajun1,6
刊名IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE
出版日期2022-10-13
页码15
ISSN号2471-285X
关键词Transportation Computer crime Renewable energy sources Smart cities Vehicle-to-grid Uncertainty Turbines Cyber-attack cyber security electric vehicle false data injection attacks multi-energy system smart city manage-ment social effort
DOI10.1109/TETCI.2022.3209306
通讯作者Cao, Zhidong(zhidong.cao@ia.ac.cn)
英文摘要Effective coordination of energy and transportation systems is fundamental and vital to smart city management. Yet, the deeply intertwined information and communication technologies have exposed smart city management to malicious cyberattacks vastly. This study develops a two-stage mitigation strategy for integrated transportation-energy systems (TESs) by coordinating energy and transportation systems to safeguard against false data injection attacks (FDIAs). Our strategy targets social engagements by electric vehicle (EV) users who can be incentivized to alter their regular EV usage patterns for supporting the energy system via vehicle-to-grid actions. We consider a TES that contains a multi-energy system comprised of power and gas systems as well as an urban transportation system. Integrated system operators can take emergency measures to coordinate important system assets (e.g., traditional generators, renewable generators, EV fleets) in a sensible and intelligent way, and thereby mitigate the consequences of FDIAs. Specifically, we take a two-stage distributionally robust approach to cope with uncertain FDIAs, with which a moment-based ambiguity set is employed to yield the worst-case uncertainty distribution. We leverage constraint generation-based relaxation to solve the problem iteratively. To demonstrate our strategy's value and practical utilities, we use a coupled urban TES to conduct case studies. According to the evaluation results, the optimized EV scheduling and energy dispatch scheme produced by the proposed strategy can contain cyberattacks' impacts and enhance cyber resilience in smart city management more effectively.
WOS关键词DISTRIBUTIONALLY ROBUST OPTIMIZATION ; LOAD REDISTRIBUTION ATTACKS ; DYNAMIC STATE ESTIMATION ; POWER ; NETWORKS ; DISPATCH ; MODEL
资助项目National Natural Science Foundation of China[72025404] ; National Natural Science Foundation of China[71621002] ; National Natural Science Foundation of China[71974187] ; National Natural Science Foundation of China[20152030] ; National Natural Science Foundation of China[2021ZD0111205] ; Beijing Natural Science Foundation[L192012] ; Beijing Nova Program[Z201100006820085]
WOS研究方向Computer Science
语种英语
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号WOS:000869050000001
资助机构National Natural Science Foundation of China ; Beijing Natural Science Foundation ; Beijing Nova Program
源URL[http://ir.ia.ac.cn/handle/173211/50287]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_互联网大数据与安全信息学研究中心
通讯作者Cao, Zhidong
作者单位1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
2.Shanghai Jiao Tong Univ, Dept Elect Engn, Shanghai 200240, Peoples R China
3.Univ Utah, David Eccles Sch Business, Salt Lake City, UT 84112 USA
4.Beijing Inst Technol, Natl Engn Lab Elect Vehicles, Beijing 100081, Peoples R China
5.Univ Bath, Dept Elect & Elect Engn, Bath BA2 7AY, Avon, England
6.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Zhao, Pengfei,Li, Shuangqi,Hu, Paul Jen-Hwa,et al. Coordinated Cyber Security Enhancement for Grid-Transportation Systems With Social Engagement[J]. IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE,2022:15.
APA Zhao, Pengfei.,Li, Shuangqi.,Hu, Paul Jen-Hwa.,Cao, Zhidong.,Gu, Chenghong.,...&Zeng, Daniel Dajun.(2022).Coordinated Cyber Security Enhancement for Grid-Transportation Systems With Social Engagement.IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE,15.
MLA Zhao, Pengfei,et al."Coordinated Cyber Security Enhancement for Grid-Transportation Systems With Social Engagement".IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE (2022):15.

入库方式： OAI收割

来源：自动化研究所

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