The proportion of new energy in novel power system is gradually increasing

leading to a development trend of low carbonization

intelligence

diversification

safety and economy in novel power system

and an increasing demand for network security. With the rapid development of the national economy

the coupling dependence between the novel power system topology (physical layer) and communication network (information layer) is increasing day by day. Although this is conducive to the expansion of the power system scale

it is extremely prone to cascading failure faults

which can exacerbate faults and lead to large-scale power outages. On this basis

taking the cascading failure of the cyber physical system (CPS) in novel power system as the research object

a Markovbased dynamic coupling model for power cascading failure is constructed. The multi-level dynamic coupling relationship between power nodes and communication nodes is characterized

and the robustness of the model is analyzed. A key node identification algorithm for cascading failure of power CPS is proposed

and a path optimization model based on weighted composite index and influencing factors is proposed. The experimental results indicate that device safety plays a decisive role in optimizing the communication path for CPS cascading failures in novel power system

which can effectively save 0.52% of network energy consumption

with the lowest energy and optimal path.