Task Offloading Method Based on DQN for High Frequency Acquisition Cloud-Edge Coordination in Low-Voltage Power Distribution Network

Under the background of high proportion of new energy access, the high-frequency acquisition business of low-voltage distribution develops rapidly, and the increasing number of high-frequency acquisition terminals and the surge in service demands impose greater challenges on the distribution network's capabilities in data acquisition, transmission, and processing. To address this issue, this paper introduces a task offloading method based on DQN, designed to operate under the coordination of high-frequency acquisition edges within the distribution network. Firstly, based on the development trend of high-frequency acquisition in distribution network, an edge-end collaborative computing offloading model for high-frequency acquisition in distribution network is constructed. Secondly, on the arrangement of considering the susceptibility of high-recurrence acquiring service to delay and energy consumption, an optimization difficulty with delay and energy using up as shared factual is constructed. Finally, a task offloading method based on DQN is proposed under the coordination of high-frequency acquisition edge of distribution network. Simulation results indicate that the proposed algorithm achieves a 31.36% reduction in average terminal energy consumption compared to the benchmark algorithm.