Simulation and Verification Method for Substation Gateway Machine Measurement Points Based on RCD Files

A simulation verification method for substation gateway machine measurement points based on RCD files is proposed to address the low efficiency and high error rate of traditional manual verification methods for substation measurement points. Firstly, a simulation system for substation gateway machine measurement points is designed, which replaces manual operation with simulated signals to improve verification efficiency. Then, the convolutional neural network (CNN) is improved and combined with random non-repeating extraction full detection technology to form a measurement point verification model. Finally, the validation model will be deployed in the virtual testing system to analyze the 104 protocol point table converted within the system and regulate the information of the issued point table, thereby completing the automatic validation of the RCD file. Based on the RCD file of a 220kV intelligent substation, experimental analysis is conducted on the proposed method, and the results shows that its verification accuracy and time are 96.28% and 4.61h, respectively, which can be well applied to the simulation of substation gateway machine measurement points.