A Novel Control Strategy for Centralized and Decentralized Microgrids in Response to Cyber-Physical Attacks Using a Frequency Sensitivity Approach

Cyber-attacks present vital challenges to the stability and performance of power microgrids, making security and stability a serious concern. Current research on cyber-attacks in microgrids often focuses on artificial intelligence techniques, such as artificial neural networks, machine learning, and deep learning. Most of these studies concentrate on either centralized or decentralized control systems and often overlook the potential benefits of Fuzzy-PID controllers. This paper introduces a novel technique employing Fuzzy-PID controllers to address the shortcomings in islanded and grid-connected microgrid architectures. The work demonstrates the performance of both centralized and decentralized control systems while under physical cyber-attacks as a basis for the development of rapid response systems using frequency detection. The proposed strategy shows substantial improvements in stabilizing frequency and voltage and managing power fluctuations, thereby effectively maintaining overall system stability. This approach offers a robust and practical solution for strengthening microgrid resilience against cyber threats.