Cyber-Resilient Multi-Energy Management for Complex Systems
Zhao, Pengfei1,2,3; Cao, Zhidong1,2,3; Zeng, Dajun1,2,3; Gu, Chenghong4; Wang, Zhaoyu5; Xiang, Yue6; Qadrdan, Meysam7; Chen, Xinlei8; Yan, Xiaohe9; Li, Shuangqi4
Source PublicationIEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
ISSN1551-3203
2022-03-01
Volume18Issue:3Pages:2144-2159
Corresponding AuthorCao, Zhidong(zhidong.cao@ia.ac.cn)
AbstractResilience 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.
KeywordIndexes Cogeneration Uncertainty Reactive power Pipelines Optimization Natural gas Cyberattacks distribution systems energy hubs load redistribution (LR) attacks multienergy systems real-time operation resilience enhancement
DOI10.1109/TII.2021.3097760
WOS KeywordDYNAMIC STATE ESTIMATION ; DATA INJECTION ATTACKS ; RISK MITIGATION ; ENERGY ; OPTIMIZATION ; HYBRID
Indexed BySCI
Language英语
Funding ProjectNational 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]
Funding OrganizationNational Science Fund for Distinguished Young Scholars ; National Natural Science Foundation of China ; Beijing Nova Program
WOS Research AreaAutomation & Control Systems ; Computer Science ; Engineering
WOS SubjectAutomation & Control Systems ; Computer Science, Interdisciplinary Applications ; Engineering, Industrial
WOS IDWOS:000728195600073
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/46795
Collection复杂系统管理与控制国家重点实验室_互联网大数据与信息安全
Corresponding AuthorCao, Zhidong
Affiliation1.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
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
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.
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