Enhancing Power System Resilience against Cyber Attack using Blockchain and Ai-Based Security Solution

This study investigates the application of advanced control techniques in enhancing the efficiency and reliability of electrical power systems. With increasing global energy demand and the integration of renewable energy sources, modern power grids face challenges such as instability, fluctuating supply, and growing complexities in load management. The research aims to address these issues through the design and implementation of robust controllers that optimize power flow, reduce system losses, and enhance overall stability. Using a hybrid control framework that integrates fuzzy logic, proportional-integral-derivative (PID) controllers, and artificial neural networks (ANN), this study explores novel methodologies for dynamic system control. Simulations and real-time experiments were conducted to evaluate the performance of these controllers under varying conditions, including fault occurrences and load fluctuations. Results demonstrated significant improvements in power quality, faster response times to disturbances, and reduced total harmonic distortion (THD) compared to conventional control methods. Additionally, this work examines the role of smart grid technologies in facilitating real-time monitoring and adaptive control in power systems. Internet of Things (IoT) devices and machine learning algorithms were employed to enable predictive maintenance and enhance fault tolerance. This multidisciplinary approach highlights the synergy between modern control theories and technological innovations in addressing current challenges in the energy sector. The findings underscore the potential of advanced control systems to revolutionize power systems, paving the way for smarter, more sustainable grids. Practical implications for policymakers and industry stakeholders are discussed, emphasizing the need for investment in research and development, as well as capacity building in engineering expertise. This research contributes to the growing body of knowledge in electrical and electronic engineering, particularly in the Nigerian context, where the reliability of power supply is critical for socioeconomic development. Future work will focus on scaling these solutions for broader applications in sub-Saharan Africa.