Abstract
As the penetration rate of renewable energy sources such as wind and solar power increases, traditional power systems face growing challenges to stability, particularly in frequency fluctuation and voltage control. This paper systematically studies the application of big data and artificial intelligence (AI) technologies in power systems, focusing on their roles in real-time monitoring, fault prediction, and intelligent scheduling to improve grid stability. It also explores the critical role of energy storage in mitigating renewable energy volatility and enhancing the system’s dynamic response capabilities. Additionally, the paper introduces the virtual synchronous generator as an intelligent control strategy that significantly enhances frequency stability by providing virtual inertia. The importance of optimized control of power electronic devices in maintaining voltage stability is further analyzed. Through system simulations, it is verified that the collaborative application of big data, AI, energy storage, and intelligent control technologies can effectively enhance the stability of power systems with high renewable energy penetration. This paper aims to propose an integrated solution and technical roadmap involving big data, AI, energy storage, and power electronics to ensure the safe and stable operation of power systems.
