Cyber-Resilient Multi-Energy Management for Complex Systems

Pengfei Zhao, Zhidong Cao, Dajun Zeng, Chenghong Gu, Zhaoyu Wang, Yue Xiang, Meysam Qadrdan, Xinlei Chen, Xiaohe Yan, Shuangqi Li

Research output: Contribution to journalArticlepeer-review

27 Citations (SciVal)

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 languageEnglish
Pages (from-to)2144-2159
Number of pages16
JournalIEEE Transactions on Industrial Informatics
Volume18
Issue number3
Early online date19 Jul 2021
DOIs
Publication statusPublished - 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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