基于边缘计算的电力系统通信网络构建

Construction of Power System Communication Network Based on Edge Computing

为克服电力系统传统云计算模式网络拥堵的问题,在现有的电力系统通信网基础上,引入边缘计算技术。在分析国内电力系统大数据计算量的基础上,讨论了现有电力系统通信网体系架构的优化途径。构建了基于docker技术的云边协同电力系统通信网络总体模型。将协同运行机制应用于系统中的各级设备。根据电力系统通信网络模型的特点,以多无人机巡检任务为应用场景,研究了基于合作型协同进化的任务协作机制的全局优化方案。提出了边缘计算服务器延时模型。讨论了基于时延和资源分配综合最优的计算卸载策略。构建了资源分配目标函数。在保证各节点总延时最小的前提下,实现了资源分配差异度最小。

In order to overcome the problem of network congestion in the traditional cloud computing mode of power system, edge computing technology is introduced based on the existing power system communication network. According to the analysis of the amount of big data calculation of domestic power system, the optimization approach of the existing power system communication network architecture is discussed. The overall model of cloud side cooperative power system communication network based on docker technology is constructed. The cooperative operation mechanism is applied to all levels of equipment in the system. According to the characteristics of power system communication network model, taking multi UAV inspection task as the application scenario, the global optimization scheme of task cooperation mechanism based on cooperative coevolution is studied. The delay model of edge computing server is proposed. The computational offload strategy based on the comprehensive optimization of delay and resource allocation is discussed. The resource allocation objective function is constructed. On the premise of minimizing the total delay of each node, the minimum difference of resource allocation is realized.