Distributed Photovoltaic Communication Latency Optimization Method Based on Sliding Window and CNN

With the growing demand for energy and the increasing global attention to environmental protection, the utilization of renewable energy such as distributed photovoltaic has received more and more attention. Distributed photovoltaic is developing rapidly. The problem of communication latency is also becoming more and more prominent. In this paper, the current situation of distributed photovoltaic communication is analyzed. Secondly, a latency optimization mechanism based on sliding window is proposed to compress packets and reduce latency. Finally, the CNN model is established and trained to predict the distributed photovoltaic communication latency, and the experimental results show that the established CNN model has a good effect on the distributed photovoltaic communication latency prediction, which provides technical support for the grid integration of renewable resources.