Projects per year
Abstract
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.
Original language | English |
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Pages (from-to) | 2144-2159 |
Number of pages | 16 |
Journal | IEEE Transactions on Industrial Informatics |
Volume | 18 |
Issue number | 3 |
Early online date | 19 Jul 2021 |
DOIs | |
Publication status | Published - 1 Mar 2022 |
Keywords
- Cyberattacks
- distribution systems
- energy hubs
- load redistribution (LR) attacks
- multienergy systems
- real-time operation
- resilience enhancement
ASJC Scopus subject areas
- Control and Systems Engineering
- Information Systems
- Computer Science Applications
- Electrical and Electronic Engineering
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Dive into the research topics of 'Cyber-Resilient Multi-Energy Management for Complex Systems'. Together they form a unique fingerprint.Projects
- 1 Finished
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Fellowship - Multi-Vector Energy Distribution System Modelling and Optimisation with Integrated Demand Side Response
Gu, C. (PI)
Engineering and Physical Sciences Research Council
1/09/14 → 31/08/17
Project: Research council