全球能源互联网（英文）2024，Vol.7Issue(3)：362-376,15.DOI:10.1016/j.gloei.2024.06.003
针对智慧能源网中动态负载攻击的新型信息物理协同检测和定位方法
Novel cyber-physical collaborative detection and localization method against dynamic load altering attacks in smart energy grids
摘要
Abstract
Owing to the integration of energy digitization and artificial intelligence technology,smart energy grids can realize the stable,efficient and clean operation of power systems.However,the emergence of cyber-physical attacks,such as dynamic load-altering attacks(DLAAs)has introduced great challenges to the security of smart energy grids.Thus,this study developed a novel cyber-physical collaborative security framework for DLAAs in smart energy grids.The proposed framework integrates attack prediction in the cyber layer with the detection and localization of attacks in the physical layer.First,a data-driven method was proposed to predict the DLAA sequence in the cyber layer.By designing a double radial basis function network,the influence of disturbances on attack prediction can be eliminated.Based on the prediction results,an unknown input observer-based detection and localization method was further developed for the physical layer.In addition,an adaptive threshold was designed to replace the traditional precomputed threshold and improve the detection performance of the DLAAs.Consequently,through the collaborative work of the cyber-physics layer,injected DLAAs were effectively detected and located.Compared with existing methodologies,the simulation results on IEEE 14-bus and 118-bus power systems verified the superiority of the proposed cyber-physical collaborative detection and localization against DLAAs.关键词
智慧能源电网/信息物理系统/动态负载攻击/攻击预测/检测和定位Key words
Smart energy grids/Cyber-physical system/Dynamic load altering attacks/Attack prediction/Detection and localization引用本文复制引用
王新宇,王相杰,罗小元,关新平,王书征..针对智慧能源网中动态负载攻击的新型信息物理协同检测和定位方法[J].全球能源互联网（英文）,2024,7(3):362-376,15.基金项目
This work was supported by the National Nature Science Foundation of China under 62203376,the Science and Technology Plan of Hebei Education Department under QN2021139,the Nature Science Foundation of Hebei Province under F2021203043,and the Open Research Fund of Jiangsu Collaborative Innovation Center for Smart Distribution Network,Nanjing Institute of Technology under No.XTCX202203. （）
