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作 者:陈元榉 刘媛媛 张延旭 蔡煜 胡春潮 蔡泽祥[2] CHEN Yuanju;LIU Yuanyuan;ZHANG Yanxu;CAI Yu;HU Chunchao;CAI Zexiang(China Southern Power Grid Power Technology Co.,Ltd.,Guangzhou 510000,China;School of Electric Power Engineering,South China University of Technology,Guangzhou 510000,China)
机构地区:[1]南方电网电力科技股份有限公司,广东广州510000 [2]华南理工大学电力学院,广东广州510000
出 处:《电力自动化设备》2024年第9期189-196,204,共9页Electric Power Automation Equipment
基 金:广东省重点领域研发计划项目(2019B111109002)。
摘 要:分析基于云计算的电力系统计算过程是实现资源高效利用的基础。因此,提出一种基于CloudSim的电力系统计算的云原生建模与仿真方法。基于云原生技术阐述了电力系统计算架构的关键要素,提出基于CloudSim的电力系统计算架构的云原生模型,分析电力云任务调配时的资源供需平衡问题。建立基于微服务的电力云任务模型,分析微服务的处理时序逻辑及其层级关系并生成微服务队列。据此提出微服务的动态调配模型,采用微服务-容器映射策略与实体动态整合策略,实现微服务在实体间的动态映射。利用CloudSim进行仿真分析,结果证明所提方法可行且有效,可为电力云计算的资源配置、任务调度等提供基本的仿真工具与方法。Analyzing the computing process of power systems based on cloud computing is the foundation for achieving efficient resource utilization.Therefore,a cloud native modeling and simulation method for power system computing based on CloudSim is proposed.The key elements of the power system computing architecture are described based on cloud native technology,a cloud native model of the power system computing architecture based on CloudSim is proposed,and the task allocation problem involving the balance between supply and demand of resources is analyzed.A power cloud task model based on microservices is established,the processing timing logic of microservices and their hierarchical relationships are analyzed,and the generate microservice queues are generated.Based on this,a dynamic deployment model of microservices is proposed,which adopts microservice-container mapping strategy and entity dynamic integration strategy to realize the dynamic mapping of microservices among entities.Simulation analysis is conducted using CloudSim,and the results show that the proposed method is feasible and effective,providing basic simulation tools and methods for resource allocation and task scheduling of power cloud computing.
关 键 词:电力系统 CloudSim 云原生建模 电力系统计算架构 动态调配 时序逻辑 微服务队列
分 类 号:TM74[电气工程—电力系统及自动化]
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