基于多源数据融合的电力边缘系统任务调度方法  

The Scheduling Method of Electric Power Limbic System Task Based on Multisource Data Fusion

作　　者：顾大德 钟子涵 资慧 王炜 周青云 GU Da-de;ZHONG Zi-han;ZI Hui;WANG Wei;ZHOU Qing-yun(Guagzhou Power Supply Bureau,Guangdong Grid Co.Ltd.,Guangzhou 510000,China;Dongfang Electron Co.Ltd.,Yantai 264000,China)

机构地区：[1]广东电网有限责任公司广州供电局,广东广州510630 [2]东方电子股份有限公司,山东烟台264000

出　　处：《电气开关》2025年第1期43-46,共4页Electric Switchgear

摘　　要：由于电力边缘系统任务调度具有复杂性,在进行任务调度时,存在资源分配的不合理,导致产生资源利用率较低的现象。为了解决这一问题,提出基于多源数据融合的电力边缘系统任务调度方法。引入多源数据融合技术,整合电力边缘系统来自不同源头的多样、异构、海量数据,基于融合数据,构建综合考虑任务完成时间、电力资源利用率和负载平衡的任务调度模型,结合任务层次划分和逼近理想解排序方法,评估选择最优的电力边缘系统任务调度方案。实验结果表明,调度方法能够显著提高电力边缘系统资源利用率,提升系统整体的运行效率。Owing to complexity of electric power limbic system task scheduling,unreason able resource allocation exists at task scheduling,leading to low production resource availability.In order to solve the problem,propose electric power limbic system task scheduling method based on multisource data fusion.Lead into multisource data technology.Integrate the electric power limbic system from different sources,such as various,isomeric and mass data.Based on fusion data,set up inteqrated consicered time to complete the task,electric power resource availability and load balance task scheduling model.Combine the task step division and approximate ideal solution collating sequence method to estimate selecting optimal electric power limbic system task scheduling plan.The experimental sesut shows that the scheduling method can remarkably improve the electric power limbic system resource availability and promote run efficiency of the whole system.

关 键 词：电力系统数据 多源数据融合 电力边缘系统 资源利用率 任务调度 

分 类 号：TM744[电气工程—电力系统及自动化]