| Chair: |
Co-chair: |
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| Peng Yang |
Yang Wu |
| Xi'an Polytechnic University, China |
Nanyang Technological University, Singapore |
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| Keywords: |
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- Large-Scale Renewable Bases (大型新能源基地)
- Weak Grids and Long-Distance Transmission (弱电网与长距离外送)
- Multi-Scale Modeling and Condition Monitoring (多尺度建模与状态监测)
- Multi-Time-Scale Stability and Dynamics (多时间尺度稳定性与动态特性)
- Advanced Converter Control and Active Grid Support (先进变换器控制与主动支撑)
- Hardware-in-the-Loop Co-simulation and Assessment (软硬件协同仿真与评估)
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| Topics: |
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- Multi-scale modeling of large-capacity renewable generation clusters and power electronics in extreme environments
(极端环境下大容量新能源发电集群与电力电子装备的多尺度建模)
- Transient synchronization and multi-time-scale stability analysis of large-scale renewable transmission systems interconnected with weak grids
(弱网接入下大型新能源外送系统的暂态同步与多时间尺度稳定性分析)
- Advanced converter control (e.g., grid-forming technologies) and active support strategies to enhance system strength
(提升系统强度的构网型（GFM）先进变换器控制与主动支撑策略)
- Data-driven approaches for converter condition monitoring, lifetime assessment, and equipment-level health management
(基于数据驱动的变换器状态监测、寿命评估与设备级健康管理)
- Hardware-in-the-loop (HIL) co-simulation and stability prediction technologies for highly power-electronified grids
(面向高比例电力电子电网的硬件在环（HIL）协同仿真与稳定性预测技术)
- AI-driven stability assessment and intelligent control techniques for large-scale renewable systems
(人工智能驱动的大型新能源系统稳定性评估与智能控制技术)
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| Summary: |
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- The rapid development of large-scale renewable bases in remote regions presents complex multi-time-scale stability and equipment reliability challenges, primarily driven by long-distance transmission via weak grids. This session highlights cutting-edge advancements, systematically encompassing multi-scale physical modeling, transient synchronization and dynamic stability analysis, and advanced grid-forming control strategies. Furthermore, the session focuses on converter health monitoring, HIL co-simulation, and stability prediction software. We invite researchers and engineers to explore innovative applications of artificial intelligence in stability assessment and intelligent control, fundamentally enhancing the resilience and security of future modern power systems.
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- 随着沙戈荒地区大型新能源基地的快速发展，高比例电力电子设备经弱电网长距离外送引发了复杂的多时间尺度稳定性与设备可靠性挑战。本专题聚焦此类系统中的前沿技术，逻辑严密地涵盖了大容量装备的多尺度物理建模、暂态同步与动态稳定性分析、以及构网型先进控制策略。此外，专题还关注变换器健康监测、硬件在环协同仿真及稳定性预测软件。我们诚邀学者探讨人工智能在稳定性评估与智能控制中的创新应用，共同提升未来现代电力系统的弹性与安全。
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