Temporal-Spatial Data Analytics for Stochastic Power System Stability

随机电力系统稳定性的时空数据分析

• 批准号: DE220101277
• 负责人: Dr Rui Zhang
• 金额: $ 30.78万
• 依托单位: The University of New South Wales
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Early Career Researcher Award
• 财政年份: 2022
• 资助国家: 澳大利亚
• 起止时间: 2022-01-01 至 2024-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DE220101277
• 关键词: Temporal; Spatial; Data; Analytics; Stochastic

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.

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，在多个时间尺度、不同地点和不同结构中测量大量数据。该项目将开发一种新颖的数据驱动框架，用于电力系统稳定性分析。该项目将提供有关高水平可再生能源电力系统不稳定现象和机制、超实时系统不稳定风险检测和基于规则的稳定控制的新知识。这些研究成果将为指导数字化时代电力公司稳定性评估和增强的新技术奠定创新的理论基础。