Power Grid Parameter Acquisition System Based on the Fusion of Intelligent Unit and Edge Computing

Abstract

AbstractAt present, with the rapid development of intelligent technology, people have higher and higher requirements for power quality. Edge computing, as an important tool for effectively processing power system data and simulating related processes, realizing machine learning functions, and performing mathematical modeling, is widely used in various fields. The integration of intelligent units and edge computing is a strong technology with a wide range of applications, involving multiple disciplines such as power systems, network communications, and computers. At the same time, in today's power system, in some cases, grid parameters and power consumption information cannot be monitored and read in real time, which seriously affects the operational safety of the entire grid to a large extent. Therefore, in order to better guarantee the quality of power supply and reduce energy consumption, research on grid parameter collection systems based on the integration of smart units and edge computing is carried out. This paper adopts experimental analysis method and data analysis method, which is intended to improve the stability and controllability of the grid parameter collection system by combining the advantages of intelligent units and edge algorithms. According to the experimental results, it can be seen from the experimental data that the output value of the power acquisition circuit is slightly higher than the calculated value, indicating that there is a measurement error, but the error is relatively small. In addition, if the power consumption of the test platform itself is removed, the two data sets will be closer, and it can be concluded that the power data acquisition and processing circuit has higher measurement accuracy.KeywordsIntelligent unitEdge computingParameter acquisitionData processing