中国电机工程学报2026，Vol.46Issue(6)：2194-2213,中插3,21.DOI:10.13334/j.0258-8013.pcsee.242773
面向在线动态安全分析的高时空分辨率状态估计:研究现状与方法框架
High Spatiotemporal Resolution State Estimation for Online Dynamic Security Assessment:A Review and Methodology
摘要
Abstract
Real-time acquisition of system operating states with high temporal and spatial resolution is fundamental to achieving online dynamic security assessment(DSA)for modern power systems.However,traditional state estimation(SE)research faces challenges in data availability,such as insufficient spatiotemporal resolution of heterogeneous measurements.Additionally,methodological limitations persist,including the constraints of single-mechanism models,the difficulty of balancing timeliness and reliability in data-driven approaches,and the challenge of analytically constructing system dynamic models.To address these issues,this paper first reviews the previous research in state estimation and summarizes the key challenges in achieving high-resolution estimation.Then,based on the principle of"physics-based and data-driven combination",a high spatial-temporal resolution SE framework is designed for dynamic security analysis in modern power systems.The paper proposes techniques for constructing,training,improving,and applying high-resolution SE models,considering the specific characteristics of different classical hybrid-driven models.Finally,case studies validate the effectiveness of the proposed high spatiotemporal resolution state estimation techniques.关键词
机理-数据联合驱动/态势感知/状态估计/动态安全分析Key words
physics-based and data-driven combination/situation awareness/state estimation/dynamic security assessment分类
信息技术与安全科学引用本文复制引用
胡健雄,汤奕,王琦,叶宇剑,严明辉..面向在线动态安全分析的高时空分辨率状态估计:研究现状与方法框架[J].中国电机工程学报,2026,46(6):2194-2213,中插3,21.基金项目
国家自然科学基金(面上基金项目)(52377085,52477077). Project Supported by National Natural Science Foundation of China(General Program)(52377085,52477077). （面上基金项目）
