Cyber physical system planning method based on risk equilibrium

Cyber Physical System (CPS) is the depth fusion of automation technology, information technology and communication technology. The important feature of CPS is that nodes and physical units exist heterogeneity. Based on the data field theory, the paper establishes generalized node quality model of CPS and mathematically quantifies the differences between nodes. It defines gaussian potential node failure risk function of CPS and builds the risk equilibrium mathematical model of CPS according to the reliability of the system. Based on the proposed model, the paper utilized the improved binary genetic algorithm to seek the best risk equilibrium optimization method. Using the examples of IEEE-39 bus system and an actual intelligent distribution network, the results indicates that the proposed model can identify the nodes where CPS may be in risk. Meanwhile the CPS planning algorithm could promote the reliability of the topological structure and the efficiency of the CPS system.