衰退
卡尔曼滤波器
智能电网
计算机科学
加性高斯白噪声
控制理论(社会学)
不变扩展卡尔曼滤波器
自适应滤波器
扩展卡尔曼滤波器
工程类
白噪声
算法
电信
人工智能
电气工程
解码方法
控制(管理)
作者
Jian Li,Yunfeng Wang,Qingyu Su
标识
DOI:10.1016/j.epsr.2023.109834
摘要
This paper focuses on the detection method of dynamic load altering attack (D-LAA) in smart grid. Firstly, the discrete system model of Cyber Physical Power System (CPPS) under D-LAA is introduced, and considering the practical situation to add Gaussian white noise with mean value of 0. Secondly, when the noise model is inaccurate, the estimation accuracy of the standard Kalman Filter (KF) is reduced, the single fading factor adaptive Kalman Filter (SFAKF) is widely used, improving the SFAKF by introducing multiple fading factors, the multiple fading factors adaptive Kalman Filter (MFAKF) can estimate the smart grid state in real time, and the estimation performance is superior to that of the standard KF and the SFAKF. Finally, based on this state estimation method combined with the Residual Function Detection Method (RFDM), the effectiveness and feasibility of the method is verified by simulation with the IEEE 6-buses and 30-buses smart grid system as an example.
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