ENHANCING CYBERSECURITY IN POWER SYSTEMS AND SUBSTATION AUTOMATION WITH INTELLIGENCE-DRIVEN ULTRACAPACITOR TECHNOLOGIES

Abstract

The increasing integration of digital technologies and automation in power systems has significantly improved operational efficiency, but also exposed critical infrastructures to complex cybersecurity threats. Substations, which serve as vital nodes in the transmission and distribution networks, are particularly vulnerable due to their reliance on interconnected communication and control systems. This study explores a novel approach to enhancing cybersecurity in power systems and substation automation by leveraging intelligence-driven ultracapacitor technologies. By combining the fast energy response capabilities of ultracapacitors with intelligent systems such as artificial intelligence (AI), machine learning (ML), and fuzzy logic, the proposed framework provides real-time detection, prediction, and mitigation of cyber threats. Additionally, ultracapacitors support resilient energy storage, ensuring uninterrupted operation during cyber-physical disruptions. The integration of intelligent control mechanisms enhances the adaptability, reliability, and security of substation operations. This research aims to contribute to the development of a secure, stable, and intelligent power infrastructure that can withstand evolving cyber threats while maintaining consistent performance and energy delivery. The conventional Use of legacy systems, which causes poor cybersecurity in power systems and substation automation, was 25%. On the other hand, when an intelligence-driven ultra capacitor was integrated into the system, it automatically reduced to 16.8%, and the conventional Lack of Real-Time Monitoring and Detection that causes poor cybersecurity in power systems and substation automation was 15%. Meanwhile, when an intelligence-driven ultra-capacitor was embedded into the system, it drastically reduced it to 10.07%. Finally, with these results obtained, it means that the percentage enhancement in cybersecurity in power systems and substation automation when an intelligence-driven ultra-capacitor was integrated into the system was 4.9%