中国电机工程学报2026，Vol.46Issue(18)：6607-6623,中插3,18.DOI:10.13334/j.0258-8013.pcsee.251594
基于混合量测时空动态异构的状态估计抗攻击功能设计及安全检测方法
Functional Design of Attack-resilient State Estimation and Security Detection Based on Spatiotemporal Dynamic Reconfiguration of Hybrid Measurements
摘要
Abstract
With the deepening cyber-physical integration of new power systems,cyberattacks such as false data injection attacks(FDIAs)pose a significant threat to the functional security of state estimation.Existing detection approaches often rely heavily on attack-model priors,exhibit limited adaptability to stealthy or evolving threats,and are weakly integrated with core estimation modules.This paper considers hybrid measurement-based state estimation integrating supervisory control and data acquisition(SCADA)and wide-area measurement systems(WAMS),and proposes an attack-resilient functional design with embedded security detection based on spatiotemporal dynamic heterogeneity.A spatiotemporal disturbance mechanism is introduced to actively construct time-sampling and spatial-selection matrices,thereby injecting dynamic heterogeneity and structural uncertainty into the estimation process to invalidate the attacker's prior assumptions.Building on statistical characterization and significance testing,this study develops a mean residual shift(MRS)-based detection index that is tightly coupled with the estimator.A robust optimization-based detection model is developed to enable coordinated adjustment of disturbance strategies and detection thresholds,which is solved via a disturbance-response adversarial optimization(DRAO)algorithm.Simulations on standard test systems demonstrate that the proposed method effectively detects a wide range of enhanced FDIA strategies while preserving the accuracy of the underlying state estimation.关键词
状态估计/虚假数据注入攻击/功能安全/时空不确定性/攻击检测Key words
state estimation/false data injection attack/functional security/spatiotemporal uncertainty/attack detection分类
信息技术与安全科学引用本文复制引用
吴舒坦,王琦,董昱,周劼英,张晓,王振邦..基于混合量测时空动态异构的状态估计抗攻击功能设计及安全检测方法[J].中国电机工程学报,2026,46(18):6607-6623,中插3,18.基金项目
国家自然科学基金项目(52477077). Project Supported by National Natural Science Foundation of China(52477077). （52477077）
