Detection and Defense Method Against False Data Injection Attacks for Distributed Load Frequency Control System in Microgrid

• DOI: 10.35833/mpce.2023.000400
• Publication Date: 2024-05-27T04:11:55Z
• Authors: Zhixun Zhang; Jianqiang Hu; Jianquan Lu; Jie Yu; Jinde Cao; Ardak Kashkynbayev
• Keywords: Microgrid

In the realm of microgrid (MG), distributed load frequency control (LFC) system has proven to be highly susceptible negative effects false data injection attacks (FDIAs). Considering significant responsibility LFC for maintaining stability within MG, this paper proposes a detection and defense method against unobservable FDIAs in system. Firstly, integrates bi-directional long short-term memory (BiLSTM) neural network an improved whale optimization algorithm (IWOA) into controller detect counteract FDIAs. Secondly, enable BiLSTM proficiently multiple types with utmost precision, model employs historical MG dataset comprising power variances. Finally, IWOA is utilized optimize proportional-integral-derivative (PID) parameters impacts The proposed validated by building Simulink.