Dynamic load-altering attack detection based on adaptive fading Kalman filter in power systems

Dynamic load-altering attack detection based on adaptive fading Kalman filter in power systems

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 gri...

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Bibliographic Details
Main Authors: Qiang Ma, Zheng Xu, Wenting Wang, Lin Lin, Tiancheng Ren, Shuxian Yang, Jian Li
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2021-04-01
Series:Global Energy Interconnection
Subjects:
Adaptive fading Kalman filter
Dynamic load
Attack detection
Online Access:http://www.sciencedirect.com/science/article/pii/S2096511721000487

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