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Cyber disruption detection in linear power systems

There are many kinds of cyber disruptions in smart grids. In order to address these issues, dynamic state estimation is utilized. These estimators are able to efficiently capture the power system dynamics because of their fast update rate. Contrary to its undue influence, unknown input disruptions and their detection methods have not attracted many researchers' attentions. Cyber malfunction and faults can be emerged as unknown input disturbances in power systems. These interruptions can endanger the stability and security of the power system; therefore, in this paper an accurate detection method is proposed to address this serious problem. Additionally, one dynamic state observer is applied to a case study to estimate this system's states and the unknown input. This case study is load frequency of a single area power system. According to results, this proposed method is successfully able to estimate the states.