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Dynamic load-altering attack detection based on adaptive fading Kalman filter in power systems 被引量:1
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作者 Qiang Ma Zheng Xu +4 位作者 Wenting Wang Lin Lin tiancheng ren Shuxian Yang Jian Li 《Global Energy Interconnection》 CAS CSCD 2021年第2期184-192,共9页
This paper presents an effective and feasible method for detecting dynamic load-altering attacks(D-LAAs)in a smart grid.First,a smart grid discrete system model is established in view of D-LAAs.Second,an adaptive fadi... This paper presents an effective and feasible method for detecting dynamic load-altering attacks(D-LAAs)in a smart grid.First,a smart grid discrete system model is established in view of D-LAAs.Second,an adaptive fading Kalman filter(AFKF)is designed for estimating the state of the smart grid.The AFKF can completely filter out the Gaussian noise of the power system,and obtain a more accurate state change curve(including consideration of the attack).A Euclidean distance ratio detection algorithm based on the AFKF is proposed for detecting D-LAAs.Amplifying imperceptible D-LAAs through the new Euclidean distance ratio improves the D-LAA detection sensitivity,especially for very weak D-LAA attacks.Finally,the feasibility and effectiveness of the Euclidean distance ratio detection algorithm are verified based on simulations. 展开更多
关键词 Adaptive fading Kalman filter Dynamic load Attack detection.
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