Application of MATLAB and OPNET in Power Communication Fault Simulation System

Using MATLAB and OPNET, the analytical model of interaction is constructed to quantitatively analyze the failure of the power system information physical system. A fault identification algorithm of distribution network based on multi-dimensional scaling analysis (MDS) and local anomaly factor (LOF) is proposed. It realizes the unified identification of information system faults and distribution network physical faults, as well as the location of distribution network fault areas and fault communication nodes. This paper presents a communication error identification method based on the collaboration between the executive machine and the coupler. By transferring the detection of communication error between the actuator and the coupler from the coupler to the actuator, the detection and repair of communication error by the coupler is reduced. The frequency of communication error detection is reduced, and the time interval of communication error detection can be determined according to specific simulation conditions. The method is proved to be feasible by identifying the actual faults and communication nodes in the actual distribution network.