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

doi:10.1109/TETCI.2022.3209306

CORC > 自动化研究所 > 中国科学院自动化研究所 > 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

	Coordinated Cyber Security Enhancement for Grid-Transportation Systems With Social Engagement
	Zhao, Pengfei 2,3; Li, Shuangqi 1,4; Hu, Paul Jen-Hwa 5; Cao, Zhidong 2,3; Gu, Chenghong 4; Xie, Da 6; Zeng, Daniel Dajun 2,3
刊名	IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE
	2022-10-13
页码	15
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
ISSN号	2471-285X
DOI	10.1109/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.
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关键词	DISTRIBUTIONALLY ROBUST OPTIMIZATION ; LOAD REDISTRIBUTION ATTACKS ; DYNAMIC STATE ESTIMATION ; POWER ; NETWORKS ; DISPATCH ; MODEL
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
内容类型	期刊论文
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.Beijing Inst Technol, Natl Engn Lab Elect Vehicles, Beijing 100081, Peoples R China 2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 3.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China 4.Univ Bath, Dept Elect & Elect Engn, Bath BA2 7AY, Avon, England 5.Univ Utah, David Eccles Sch Business, Salt Lake City, UT 84112 USA 6.Shanghai Jiao Tong Univ, Dept Elect Engn, Shanghai 200240, 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.