Temporal-Spatial Data Analytics for Stochastic Power System Stability

现代电力系统正朝着以可再生能源为主导的数字化“数据密集型”系统发展，在这个系统中，大量数据将在多个时间尺度、不同地点和不同结构中进行测量。该项目将开发一种新的数据驱动框架，用于电力系统稳定性分析。该项目将提供关于高水平可再生能源电力系统不稳定现象和机制的新知识，以及超实时的系统不稳定风险检测和基于规则的稳定控制。这些研究成果将为指导电力公司在数字化时代进行稳定性评估和增强的新技术奠定创新的理论基础。

The modern power system is evolving towards a renewable-energy dominated, digitalized "data-intensive" system, where enormous data are measured in multiple timescales, different locations, and in diverse structures. This project will develop a novel data-driven framework for power system stability analysis. This project will deliver new knowledge about instability phenomena and mechanism of power systems with high-level renewable energies, faster-than-real-time system instability risk detection, and rule-based stability control. These research outcomes will form the basis of an innovative theoretical foundation to guide new technologies for power utilities for stability assessment and enhancement in the digitalized era.