Enhancing Cyber Attack Detection in Microgrids for Resilient Energy Networks

Abstract

The threats posed by cyber-attacks on energy networks, especially microgrids, have become a significant concern as the global energy landscape becomes more interconnected and reliant on technological advancements. This study investigates the fundamental vulnerabilities in energy networks and the potential impact of cyber-attacks on power generation, consumption, and backup systems. The importance of robust identification systems cannot be overstated; real-time identification, mitigation, and response to cyber-attacks rely on advanced detection technology. This research underscores the critical role of active security protocols in safeguarding energy networks from cyber-attacks, with a focus on coding in MATLAB and the development of best practices. The paper explores two scenarios - normal operations and attack situations - for three key units: power generation, power consumption, and power storage. The methodology involves:  primary detection through statistical analysis and secondary detection through SPC. These findings emphasize the essential role of strong cybersecurity measures in ensuring the stability and dependability of microgrids, particularly in the face of escalating cyber threats.