Novel cyber-physical collaborative detection and localization method against dynamic load altering attacks in smart energy grids  

作　　者：Xinyu Wang Xiangjie Wang Xiaoyuan Luo Xinping Guan Shuzheng Wang 

机构地区：[1]School of Electrical Engineering,Yanshan University,Qinhuangdao,066004,P.R.China [2]School of Electrical Engineering,Jiangsu Collaborative Innovation Center for Smart Distribution Network,Nanjing,636600,P.R.China [3]School of Electronic and Electrical Engineering,Shanghai Jiaotong University,Shanghai,200240,P.R.China

出　　处：《Global Energy Interconnection》2024年第3期362-376,共15页全球能源互联网（英文版）

基　　金：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;the Open Research Fund of Jiangsu Collaborative Innovation Center for Smart Distribution Network,Nanjing Institute of Technology under No.XTCX202203.

摘　　要：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：Smart energy grids Cyber-physical system Dynamic load altering attacks Attack prediction Detection and localization 

分 类 号：TM76[电气工程—电力系统及自动化]