Session 4: Fault Identification and Safety Hazard Early Warning in New Power Systems

Session 4: Fault Identification and Safety Hazard Early Warning in New Power Systems
“新型电力系统故障识别与安全隐患预警”

As the transition towards new power systems accelerates, the complexity of these systems increases, which in turn raises the challenges associated with fault identification and safety hazard early warning. This special session aims to bring together researchers, industry experts, and practitioners to discuss innovative approaches and technologies for enhancing the reliability and safety of new power systems.

Objectives:
Explore Advanced Fault Identification Techniques: Share state-of-the-art methodologies and technologies for real-time fault detection and diagnosis in new power systems. Discuss Safety Hazard Early Warning Systems: Present frameworks and tools that can predict potential safety hazards and enable proactive measures. Encourage Collaboration between Academia and Industry: Foster partnerships between researchers and industry stakeholders to bridge the gap between theoretical advancements and practical applications. Highlight Case Studies and Best Practices: Showcase successful implementations and lessons learned from existing systems.  

Topics of Interest：
We invite contributions on, but are not limited to, the following topics:

• Machine Learning and AI for Fault Detection
• Real-time Monitoring and Data Analytics
• Predictive Maintenance Strategies
• Integration of IoT in Power System Management
• Risk Assessment and Mitigation Strategies
• Cybersecurity in New Power Systems
• Regulatory and Standards Compliance
• Case Studies of Fault Identification in Renewable Energy Integration