Analysis of Digital Transformation Framework and Implementation Pathway for Power Grids in the Context of New Power Systems

The rise of new power systems, largely driven by renewable energy adoption and advanced grid interconnectivity, has introduced complexities in managing power grids. Digital transformation provides tools for real-time monitoring, adaptive control, and enhanced reliability, addressing the demands of modern power systems. This study presents a comprehensive framework for digital transformation in power grids, exploring specific pathways for implementing AI, IoT, and big data analytics to improve operational efficiency and adaptability. Using simulated data, we evaluate the framework’s impact on load forecasting accuracy, asset management, and grid optimization. Results show that adopting a structured digital transformation framework enhances grid resilience, optimizes renewable integration, and supports sustainable energy goals. Policy recommendations for supporting digital grid infrastructure are also provided.