Time-Aware Edge Computing Method for High-Frequency Acquisition of Low-Voltage Distribution Substation Area

With the digital transformation of the new power system, massive information collection devices are deployed in low-voltage substation area, leading to a proliferation of power business data. Edge computing can sink computing and storage resources to realize distributed processing of data and relieve network transmission pressure. However, due to the limited computing resources of edge servers, massive data access will lead to competition for computing resources as well as communication resources, making it difficult to realize real-time processing of high-frequency collection data in the low-voltage distribution substation area. To solve the above problems, we propose an edge computing framework for the high-frequency collection of information in low-voltage distribution substation area based on delay awareness. Then, we formulate the optimization problem of minimizing the data transmission delay and edge server processing delay. An edge computing method based on mutual benefit game is proposed to solve the optimization problem. Simulation results show that the proposed algorithm has excellent performance in delay.