Session Chair(s) and Speakers:

Session Abstract

The new power system is characterized by a high proportion of renewable energy and the widespread use of power electronics. Its operation faces challenges such as random fluctuations on the generation side, diverse and volatile demand on the load side, and the complex dynamic characteristics of the power grid. Traditional analysis, control, and operation methods based on physics-based models can no longer meet the requirements of intelligent, secure, and low-carbon operation in new power systems. As the digital transformation of the power industry continues to deepen, massive amounts of data from grid operations, renewable energy output, user electricity consumption, and equipment status are continuously accumulating. Cutting-edge technologies such as artificial intelligence, machine learning, big data analytics, and digital-physical integration have become core tools for addressing operational challenges and driving intelligent upgrades across the entire power value chain.

This symposium focuses on cutting-edge theories, key technologies, and engineering applications of artificial intelligence in new power systems. It addresses critical challenges in the construction and operation of new power systems, covering topics such as intelligent forecasting of renewable energy generation, intelligent sensing and assessment of grid operating conditions, intelligent operation and maintenance of power equipment, coordinated intelligent control of generation-grid-load-storage systems, intelligent fault diagnosis and grid security protection, industrial applications of large-scale AI models for power systems, digital-physical integrated intelligent decision-making, and low-carbon intelligent operation of power systems.

The symposium aims to bring together the latest research findings and engineering practices from universities, research institutes, power enterprises, and technology organizations worldwide. It seeks to explore innovative pathways for the deep integration of AI technologies with power systems, overcome traditional technological bottlenecks, and promote the transformation of power systems from experience-driven and model-driven approaches toward intelligent sensing, analysis, decision-making, and control. The symposium is dedicated to establishing a high-level platform for academic exchange and industry-academia-research collaboration, fostering technological innovation, technology transfer, and academic communication in the field of power AI. It aims to provide a solid theoretical foundation and technical reference for the safe and stable operation, highly efficient and low-carbon development, and digital-intelligent transformation of new power systems.