Temporal-Spatial Data Analytics for Stochastic Power System Stability

现代电力系统正在向以可再生能源为主的数字化“数据密集型”系统发展，在这种系统中，海量数据在多个时间尺度、不同的位置和不同的结构中进行测量。该项目将开发一种新的数据驱动的电力系统稳定分析框架。该项目将提供有关电力系统不稳定现象和机理的新知识，包括高水平可再生能源、比实时更快的系统不稳定风险检测和基于规则的稳定控制。这些研究成果将形成创新的理论基础，指导数字化时代电力公用事业稳定性评估和增强的新技术。

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.