自动化学报2019，Vol.45Issue(1)：120-131,12.DOI:10.16383/j.aas.2018.c180431
拒绝服务攻击下基于UKF的智能电网动态状态估计研究
Dynamic State Estimation of Smart Grid Based on UKF Under Denial of Service Attacks
摘要
Abstract
When continuous denial of service (DoS) attacks cause measurement data losses in smart grid, the traditional dynamic state estimation is useless, destroying the running safety of smart grid seriously. To solve the problem, an improved unscented Kalman filter (UKF) is proposed, which can estimate the dynamic state of smart grid under DoS attacks.Firstly, the characteristics of data packet losses resulting from DoS attacks are analyzed and data compensation strategy is designed to reconstruct the dynamic model of power system. Integrating Holt s two-parameter exponential smoothing and unscented Kalman filter algorithms, a new state estimation equation including the compensation information is then constructed. Furthermore, a state gain updating method is derived from the estimated error covariance matrix, which produces a new enhanced UKF dynamic state estimation algorithm. Finally, simulations on IEEE 30-bus and 118-bus system confirm the feasibility and effectiveness of the proposed method.关键词
智能电网/动态状态估计/拒绝服务攻击/无迹卡尔曼滤波Key words
Smart grid/dynamic state estimation/denial of service (DoS) attacks/unscented Kalman filter (UKF)引用本文复制引用
李雪,李雯婷,杜大军,孙庆,费敏锐..拒绝服务攻击下基于UKF的智能电网动态状态估计研究[J].自动化学报,2019,45(1):120-131,12.基金项目
国家自然科学基金(61773253,61803252,61633016,61533010) （61773253,61803252,61633016,61533010）
中国博士后科学基金(2018M630425)资助 （2018M630425）
