基于数据驱动技术的电力通信调度数字化管控系统研究

Research on the Digital Control System for Power Communication Dispatch Based on Data-Drive Technology

文章探讨数据驱动技术在电力通信调度中的应用潜力,并设计一套基于数据驱动技术的电力通信调度数字化管控系统。该系统综合运用图神经网络(Graph Neural Network,GNN)和深度强化学习等技术,实现对电力通信网络的实时感知、智能调度优化以及自动化管控。仿真实验结果表明,所设计的系统在提高网络资源利用效率和保障业务服务质量等方面具有显著优势。

This paper explores the potential application of data-driven techniques in power communication scheduling and designs a digital control system for power communication dispatch based on data-driven technology.The system comprehensively employs techniques such as Graph Neural Network(GNN)and deep reinforcement learning to achieve real-time perception,intelligent scheduling optimization,and automated control of power communication networks.The simulation experiment results demonstrate that the designed system has significant advantages in improving network resource utilization efficiency and ensuring service quality.