• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

ELECTRIC POWER CONSTRUCTION ›› 2022, Vol. 43 ›› Issue (1): 104-112.doi: 10.12204/j.issn.1000-7229.2022.01.012

• Smart Grid • Previous Articles     Next Articles

Modeling of False Data Injection Attack and Rapid Screening of Vulnerable Lines Under Attack

WANG Jingcai(), LI Yan(), XU Tianqi()   

  1. The Key Laboratory of Cyber-Physical Power System of Yunnan Colleges and Universities, Yunnan Minzu University,Kunming 650504, China
  • Received:2021-04-29 Online:2022-01-01 Published:2021-12-21
  • Contact: LI Yan E-mail:603111560@qq.com;liyanhustkm@163.com;xu.tianqi@ymu.edu.cn
  • Supported by:
    National Natural Science Foundation of China(62062068);National Natural Science Foundation of China(61761049)

Abstract:

With the high integration of power grids and communication networks, false data injection attack has become a security hazard to the current power grids. In order to achieve the higher security level of power system in context of cyber-physical fusion, firstly, a bi-level attack model of false data inject attack under cyber-physical power system is proposed. The upper model represents the attack strategy of attacker, while the lower model represents the response of the power grid after attack. The model is solved using KKT conditions. Secondly, a rapid screening method with iterative ideas is proposed, which can quickly screen the vulnerable lines under the false data injection attack. Thirdly, a multi-line attack strategy is proposed to help grid operators conduct a more in-depth evaluation of the grid. Finally, the rationality of the attack model and the feasibility of the rapid screening method are verified through the simulation on the IEEE 39-bus system and IEEE 118-bus system.

Key words: cyber-physical power system, bi-level attack model, false data injection attack, rapid screening

CLC Number: