Research on real-time data processing and evaluation of new power system wide-area digital metering equipment based on deep learning algorithm

According to the type of digital metering equipment, the real-time data can be divided into two major categories, namely analog and switching, and the design of the real-time data management system for the equipment is formulated. In the face of massive real-time data, it is proposed to use artificial neural networks to construct a new type of power system wide-area data processing model, which is verified and analyzed with the help of simulation experiments. Under the role of artificial neural network, the real-time data transmission delay of each device is reduced to less than 30ms, in addition, the artificial neural network of the system’s real-time data staging stability assessment error of 0.05 or less, that is, to prove that the electric power system has a good real-time data processing performance of digital metering equipment, which can satisfy the needs of the power users, and to provide a new idea for the development and construction of the new type of electric power system.