AoI research on PMU cloud side Cooperative System of active distribution network

Phasor measurement units (PMUs) are being widely installed in transmission networks. Many PMU based power system applications have been developed or are under development in academia and industry. For these applications, data status update is usually a key factor affecting its performance, especially for distribution network equipment information acquisition and control computing delay performance cannot accurately ensure the timely processing of services. Therefore, an index of information freshness is proposed—age of information(AoI). According to the model of intelligent computing system of distribution network equipment, the average peak information age of the system is calculated. Finally, the DQN method is adopted to minimize the peak information age. Simulation results show that the proposed service unloading optimization scheme based on DQN can effectively reduce the peak AoI of the system.