Cyber-Resilient Multi-Energy Management for Complex Systems
文献类型：期刊论文
| 作者 | Zhao, Pengfei7,8,9; Cao, Zhidong7,8,9 ; Zeng, Dajun7,8,9; Gu, Chenghong1; Wang, Zhaoyu2; Xiang, Yue3; Qadrdan, Meysam4; Chen, Xinlei6; Yan, Xiaohe5; Li, Shuangqi1
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| 刊名 | IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
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| 出版日期 | 2022-03-01 |
| 卷号 | 18期号:3页码:2144-2159 |
| 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 |
| ISSN号 | 1551-3203 |
| DOI | 10.1109/TII.2021.3097760 |
| 通讯作者 | Cao, Zhidong(zhidong.cao@ia.ac.cn) |
| 英文摘要 | 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. |
| WOS关键词 | DYNAMIC STATE ESTIMATION ; DATA INJECTION ATTACKS ; RISK MITIGATION ; ENERGY ; OPTIMIZATION ; HYBRID |
| 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] |
| WOS研究方向 | Automation & Control Systems ; Computer Science ; Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:000728195600073 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | National Science Fund for Distinguished Young Scholars ; National Natural Science Foundation of China ; Beijing Nova Program |
| 源URL | [http://ir.ia.ac.cn/handle/173211/46794]  |
| 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.Univ Bath, Dept Elect & Elect Engn, Bath BA2 7AY, Avon, England 2.Iowa State Univ, Dept Elect & Comp Engn, Ames, IA 50011 USA 3.Sichuan Univ, Coll Elect Engn, Chengdu 610017, Peoples R China 4.Cardiff Univ, Sch Engn, Cardiff CF24 3AA, Wales 5.North China Elect Power Univ, Dept Elect & Elect Engn, Beijing 102206, Peoples R China 6.Tsinghua Shenzhen Int Grad Sch, Shenzhen 518055, Peoples R China 7.Chinese Acad Sci, Inst Automat, Beijing 100864, Peoples R China 8.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100864, Peoples R China 9.Shenzhen Artificial Intelligence & Data Sci Inst, Shenzhen 518172, Peoples R China |
| 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. |
入库方式： OAI收割
来源：自动化研究所
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