电力信息与通信技术2025，Vol.23Issue(9)：61-66,6.DOI:10.16543/j.2095-641x.electric.power.ict.2025.09.09
面向分布式光伏集群的移动边缘云轨迹优化策略
Optimization Strategy of Mobile Edge Cloud Trajectory for Distributed Photovoltaic Clusters
摘要
Abstract
With more and more power terminals in distributed photovoltaic cluster systems initiating real-time business demands and power computation requests,the performance of data collection and computation architectures with traditional operation and scheduling methods is limited.To solve the problem,this paper adopts moving edge cloud(mEC)to optimise the resource scheduling of terminal devices in large-scale photovoltaic clusters.The mEC collects PV terminal device tasks sequentially,processes urgent tasks first and returns the results.For non-urgent tasks such as normal monitoring,the mEC can collect the request and leave,returning the computation results until it reaches the device again.The asynchronous nature of request reception and result return effectively decouples the relationship between stringent latency requirements and resource demands.We model the movement routes and task priorities of edge server groups as a complex mixed-integer nonlinear programming problem.An iterative update algorithm is used to solve the problem and determine the resource allocation strategy.Simulation results show that the scheme can significantly reduce energy consumption and save system cost.关键词
异步解耦/移动性边缘云/轨迹优化/能源利用率Key words
asynchronous decoupling/moving edge cloud/trajectory optimization/energy efficiency分类
信息技术与安全科学引用本文复制引用
马梦轩,张冠群,何文昭,宋昕,雍晓峰,李智磊..面向分布式光伏集群的移动边缘云轨迹优化策略[J].电力信息与通信技术,2025,23(9):61-66,6.基金项目
国网宁夏电力有限公司科技项目"面向整县分布式光伏集群接入的通信组网技术研究"(5229YC220009). （5229YC220009）
