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Impact Assessment and Defense for Smart Grids With FDIA Against AMI

  • Jichao Bi
  • , Fengji Luo*
  • , Gaoqi Liang
  • , Xiaofan Yang
  • , Shibo He
  • , Zhao Yang Dong
  • *Corresponding author for this work
  • Zhejiang University
  • Zhejiang Institute of Industry and Information Technology
  • The University of Sydney
  • The Chinese University of Hong Kong, Shenzhen
  • Shenzhen Institute of Artificial Intelligence and Robotics for Society
  • Chongqing University
  • University of New South Wales

Research output: Contribution to journalArticlepeer-review

Abstract

Cyber-physical security has been becoming an important issue for many critical infrastructures in human society, including electrical power grids. This paper proposes an impact assessment framework for smart grids suffering false data injection attack against smart meters. Firstly, the propagation model of malicious false data codes in smart meter communication networks is established. Based on this, a security-constrained economic dispatch model is formulated to assess how false data codes would mislead the grid operator's actions. A defense strategy is proposed, which enhances the grid's vulnerability through effectively deploying defense resources in smart meter networks. Extensive numerical simulations are conducted to evaluate the impact of different attack scenarios as well as the effectiveness of the defense strategy.

Original languageEnglish
Pages (from-to)578-591
Number of pages14
JournalIEEE Transactions on Network Science and Engineering
Volume10
Issue number2
DOIs
StatePublished - 1 Mar 2023
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • False data injection attack
  • advanced metering infrastructure
  • cyber security
  • smart grid
  • smart meter

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