Frontiers in Energy Research (Nov 2024)

Research on relay setting attack defense in power systems based on a three-layer optimization model

  • Liu Ren,
  • Liu Ren,
  • Liu Ren,
  • Liu Ren,
  • Yan Binyuan,
  • Guo Hengdao,
  • Guo Hengdao,
  • Guo Hengdao,
  • Guo Hengdao,
  • Liu Junrong,
  • Zhu Yihua,
  • Zhu Yihua,
  • Zhu Yihua,
  • Zhu Yihua,
  • Fu Yun,
  • Tu Liang,
  • Tu Liang,
  • Tu Liang,
  • Tu Liang,
  • Zhou Zeyuan

DOI
https://doi.org/10.3389/fenrg.2024.1502078
Journal volume & issue
Vol. 12

Abstract

Read online

With the intelligent development of power systems, the number of relays continues to increase. Differences in manufacturers, systems, and protocols lead to growing security risks. Tampering with relay settings could potentially cause power outages or even system instability. Consequently, relay settings have gradually become a key target for cyberattacks, particularly in smart grids where traditional defense measures struggle to effectively address complex and diverse attack scenarios. To address this issue, this paper proposes a three-layer optimization defense model based on game theory, designed to adapt to various attack scenarios. The core methodology of this model includes a three-layer structure: The first layer optimizes the protection level of each relay by allocating limited defense budgets. The second layer analyzes the potential system damage based on the attacker’s strategy choices. The third layer comprehensively calculates system losses to evaluate the effectiveness of defense plans. Through layer-by-layer optimization of budget allocation, the model minimizes the unsupplied energy loss caused by relay setting attacks. Compared to existing methods, this model not only improves defense effectiveness under resource constraints but also addresses multiple complex attack scenarios. Experimental results demonstrate that this model significantly enhances the system’s defense capabilities and effectively reduces the impact of attacks on system security operations.

Keywords