Research on Application of Cyber-Physical System in Fault Diagnosis of Power Grid

existing power grid fault diagnosis system is difficult to adapt to the current complex data environment, against this situation, the establishment of a Cyber-physical system is proposed to achieve a strong correlation between the physical model of the power grid and the regulatory information model in this paper. Firstly, according to the coupling relationship between the information attributes and physical parameters, the corresponding system models are established respectively, and based on the same simulation platform, a cyber-physical fusion system is established. The keyword matching algorithm is used to de-noise the SOE information in the fault information, thereby improving the value density of the processed data in the regulatory system. A parallel Hidden Markov algorithm is proposed to identify abnormal events and determine the types of abnormalities, then use the associated electrical quantity information to perform ancillary analysis. The simulation results show that the cyber-physical system can effectively eliminate redundant information and identify abnormal distorted information.