Cyber-Resilient Multi-Energy Management for Complex Systems

doi:10.1109/TII.2021.3097760

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 互联网大数据与信息安全

	Cyber-Resilient Multi-Energy Management for Complex Systems
	Zhao, Pengfei 1,2,3; Cao, Zhidong1,2,3 ; Zeng, Dajun1,2,3 ; Gu, Chenghong 4; Wang, Zhaoyu 5; Xiang, Yue 6; Qadrdan, Meysam 7; Chen, Xinlei 8; Yan, Xiaohe 9; Li, Shuangqi 4
发表期刊	IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
ISSN	1551-3203
	2022-03-01
卷号	18 期号:3 页码:2144-2159
通讯作者	Cao, Zhidong(zhidong.cao@ia.ac.cn)
摘要	Resilience problems from cyber-attacks on information communication technologies exist under their wide usage. False data injection (FDI) judiciously designed by attackers may cause severe consequences such as uneconomic operation and blackouts, particularly multivector energy distribution systems (MEDS), which are closely linked and interdependent. This article addresses the cyber resilient issues of an MEDS caused by FDI, considering the uncertainty from renewable resources. A novel two-stage distributionally robust optimization (DRO) is proposed to realize the day-ahead and real-time resilience improvement. The ambiguity set is based on both the Wasserstein distance and moment information. Compared to robust optimization which considers the worst case, DRO yields less-conservative solutions and thus provides more economic operation schemes. The Wasserstein metric-based ambiguity set enables to provide additional flexibility hedging against renewable uncertainty. Case studies are demonstrated on two representative MEDS networked with energy hubs, illustrating the effectiveness of the proposed cybersecured model. The produced adaptive robust economic operation for MEDS can reduce load shedding and enhance system resilience against severe cyberattacks.
关键词	Indexes Cogeneration Uncertainty Reactive power Pipelines Optimization Natural gas Cyberattacks distribution systems energy hubs load redistribution (LR) attacks multienergy systems real-time operation resilience enhancement
DOI	10.1109/TII.2021.3097760
关键词[WOS]	DYNAMIC STATE ESTIMATION ; DATA INJECTION ATTACKS ; RISK MITIGATION ; ENERGY ; OPTIMIZATION ; HYBRID
收录类别	SCI
语种	英语
资助项目	National Science Fund for Distinguished Young Scholars[72025404] ; National Natural Science Foundation of China[71621002] ; National Natural Science Foundation of China[72074209] ; Beijing Nova Program[Z201100006820085] ; Beijing Nova Program[TII-20-5787]
项目资助者	National Science Fund for Distinguished Young Scholars ; National Natural Science Foundation of China ; Beijing Nova Program
WOS研究方向	Automation & Control Systems ; Computer Science ; Engineering
WOS类目	Automation & Control Systems ; Computer Science, Interdisciplinary Applications ; Engineering, Industrial
WOS记录号	WOS:000728195600073
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
七大方向——子方向分类	智能控制
引用统计	被引频次：17[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/46795
专题	多模态人工智能系统全国重点实验室_互联网大数据与信息安全
通讯作者	Cao, Zhidong
作者单位	1.Chinese Acad Sci, Inst Automat, Beijing 100864, Peoples R China 2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100864, Peoples R China 3.Shenzhen Artificial Intelligence & Data Sci Inst, Shenzhen 518172, Peoples R China 4.Univ Bath, Dept Elect & Elect Engn, Bath BA2 7AY, Avon, England 5.Iowa State Univ, Dept Elect & Comp Engn, Ames, IA 50011 USA 6.Sichuan Univ, Coll Elect Engn, Chengdu 610017, Peoples R China 7.Cardiff Univ, Sch Engn, Cardiff CF24 3AA, Wales 8.Tsinghua Shenzhen Int Grad Sch, Shenzhen 518055, Peoples R China 9.North China Elect Power Univ, Dept Elect & Elect Engn, Beijing 102206, Peoples R China
第一作者单位	中国科学院自动化研究所
通讯作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Zhao, Pengfei,Cao, Zhidong,Zeng, Dajun,et al. Cyber-Resilient Multi-Energy Management for Complex Systems[J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS,2022,18(3):2144-2159.
APA	Zhao, Pengfei.,Cao, Zhidong.,Zeng, Dajun.,Gu, Chenghong.,Wang, Zhaoyu.,...&Li, Shuangqi.(2022).Cyber-Resilient Multi-Energy Management for Complex Systems.IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS,18(3),2144-2159.
MLA	Zhao, Pengfei,et al."Cyber-Resilient Multi-Energy Management for Complex Systems".IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS 18.3(2022):2144-2159.