Distributed elastic recovery strategy of AC/DC hybrid microgrid under false data injection attack

Abstract

Abstract The AC/DC hybrid microgrid, which integrates AC microgrid and DC microgrid, greatly improves the flexibility of distributed energy. However, it is imperative to acknowledge that the microgrid in question is accompanied by a significantly elevated network security risk. To solve this problem, this article proposes a false data injection attack detection and alarm method based on active power output. The detection algorithm is capable of detecting attacks at any location within the microgrid and mitigating the impact of communication delay. Moreover, a distributed elastic recovery strategy based on the aforementioned detection algorithm is proposed. This strategy aims to expeditiously restore the compromised agent to its rated state. Finally, a simulation model is developed to demonstrate the effectiveness of the proposed strategy.

Keywords

• cyber‐physical systems
• distributed power generation
• multi‐agent systems