Track Ⅰ

Data Intelligence Empowering the Security, Stability, and Resilience of Power Systems with High Penetration of Renewable Energy 数据智能赋能高比例新能源电力系统安全稳定与韧性增强
Submission Deadline: October 10, 2026
Chair:	Co-chair:
Boyu Qin	Yushuai Zhang
Xi'an Jiaotong University, China	Xijing University, China
Keywords:
High Penetration of Renewable Energy (高比例新能源) Power System Stability (电力系统稳定性) Resilience Enhancement (韧性提升) Data Intelligence (数据智能) Deep Learning (深度学习) Cascading Failure Mitigation (级联故障防控)
Topics:
With the large-scale integration of renewable energy, the increasingly complex AC/DC hybrid grid architecture, and the growing frequency of extreme events, the secure and stable operation of new-type power systems is facing unprecedented challenges. Centered on the theme of system security, stability, and resilience enhancement, this forum focuses on frontier topics including stability mechanism analysis, operational situation awareness, security defense and control, cascading failure mitigation, resilience-oriented planning, and emergency operation under extreme risks. At present, data intelligence technologies represented by big data analytics, machine learning, and deep learning are profoundly transforming the way power systems are modeled, perceived, and controlled. These technologies can mine operational patterns from massive measurement data, characterize system vulnerabilities, anticipate instability risks, and support rapid intelligent decision-making, thereby opening up new pathways for tackling high-dimensional, nonlinear, and highly uncertain problems. The forum cordially invites experts and scholars from academia and industry to exchange ideas, share innovative achievements and practical experience in the deep integration of data intelligence and power systems, and jointly explore the path toward intelligent and resilient new-type power systems.
随着可再生能源大规模并网、交直流混联结构日趋复杂以及极端事件愈发频繁，新型电力系统的安全稳定运行正面临前所未有的考验。本论坛以系统安全稳定与韧性增强为主线，重点探讨稳定机理认知、运行态势研判、安全防御控制、级联故障阻断、韧性规划设计以及极端风险下的应急运行等前沿议题。当前，以大数据分析、机器学习与深度学习为代表的数据智能技术，正深刻改变着电力系统的建模、感知与决策方式，能够从海量量测数据中挖掘运行规律、刻画系统薄弱环节、预判失稳风险并支撑快速智能决策，为应对高维非线性、强不确定性问题开辟了新途径。论坛诚邀产学研各界专家学者同台交流，分享数据智能与电力系统深度融合的创新成果与落地经验，共同探索智能化、韧性化的新型电力系统发展之路。
Summary:
Against the backdrop of the dual-carbon goals and the construction of new-type power systems, the stability and resilience challenges arising from the high penetration of renewable energy have become a critical bottleneck constraining the secure operation of power grids. This forum is intended for researchers, engineering experts, and grid operation managers in the fields of power systems and artificial intelligence. It focuses on the innovative applications of data intelligence in stability analysis, security control, cascading failure mitigation, and resilience-oriented planning, aiming to distill common technical bottlenecks, exchange cutting-edge theoretical methods and engineering practices, and promote the development of solutions that deeply integrate data intelligence with power systems, so as to enhance the grid's capability for security defense and efficient operation under complex faults and extreme risks.
在双碳目标与新型电力系统建设背景下，高比例新能源接入引发的稳定与韧性问题已成为制约电网安全运行的关键瓶颈。本论坛面向电力系统与人工智能领域的科研人员、工程技术专家及电网运行管理者，聚焦数据智能在稳定性分析、安全控制、级联故障防控与韧性规划中的创新应用，旨在凝练共性技术瓶颈、交流前沿理论方法与工程实践，推动形成数据智能与电力系统深度融合的解决方案，提升电网在复杂故障与极端风险下的安全防御与高效运行能力。