Identification system of key communication nodes of cyber physical power system based on line impedance and power flow information

The inaccuracy of key communication node identification on the information side causes the defense strategy of cyber-physical power systems (CPPS) against cyber-attacks to have loopholes, which leads to the expansion of the impact caused by intentional attacks, and the information transmission efficiency on the information side decreases dramatically, which is prone to cause large-scale blackout accidents. Aiming at the above problems, this paper proposes a CPPS information-side key communication node identification system that comprehensively considers communication line power flow and impedance information. First, based on the centrality theory of complex networks, CPPS information-side key communication node identification indices are proposed to ensure the accuracy and validity of the identification results. Second, the numerical values of the identification indexes of the information-side impedance information matrix, active loss information matrix, and reactive loss information matrix are computed. The computation results of the three types of information matrices are synthesized to rank the importance of the communication nodes to propose a key communication node identification system to ensure the comprehensiveness and accuracy of the key communication node identification system. A node identification system is proposed to ensure the comprehensiveness and reliability of the key node identification results. Finally, the CPPS information network transmission efficiency index is proposed, and deliberate attacks are simulated to quantitatively assess the changes in the network transmission efficiency of the key communication nodes after they are attacked. The effectiveness of the system is verified by comparing the simulation example IEEE 118 node system with the entropy weight method and entropy weight TOPSIS method.