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.

现代电力系统正在发展为以数字化的“数据密集型”系统为主的可再生能源发展，其中在多个时间尺度，不同的位置和不同的结构中测量了巨大的数据。该项目将为电力系统稳定性分析开发一个新颖的数据驱动框架。该项目将提供有关具有高级可再生能源的电力系统的不稳定性现象和机制的新知识，比实时的系统不稳定风险检测速度更快以及基于规则的稳定性控制。这些研究成果将构成创新的理论基础的基础，以指导用于稳定性评估和增强数字化时代的电力公用事业技术。