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基于云边协同和可伸缩微服务的配网云平台系统设计

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配电网规模不断扩大的背景下,为提高系统效率和灵活性、解决配电网规模扩大引发的管理挑战,提出构建配网云边端服务框架、基于云边协同的可伸缩优化模型以及配网云平台微服务架构.通过设计云边端服务框架,实现了云端与边缘端的高效协同工作.为解决电力系统规模增大引发的挑战,引入了基于云边协同的可伸缩优化模型,以确保系统在动态工作负载下的高效运行.为提高系统弹性和灵活性,设计了配网云平台微服务架构,将系统拆分为独立的微服务单元,使其更易于扩展和维护.通过算例分析,验证了基于云边协同和可伸缩微服务的配网云平台系统能够灵活调整面对不断变化的电网条件,保证QoS参数的同时降低成本,说明模型为电力系统的智能化和可持续发展提供了实用的解决方案,解决了配电网规模扩大引发的管理难题,为未来电力系统的优化提供了有力支持.
Distribution Network Cloud Platform System Design Based on Cloud-Edge Collaboration and Scalable Microservices
Against the backdrop of the continuous expansion of the distribution network,aiming to enhance system efficiency and flexibility while addressing the management challenges arising from the increasing scale of the distribution network,the construction of a distribution network cloud-edge service framework,a scalable optimization model based on cloud-edge collaboration,and a microservices architecture for the distribution network cloud platform is proposed.By designing the cloud-edge service framework,efficient collaboration between the cloud and the edge is achieved.To tackle the challenges posed by the growing scale of power systems,a scalable optimization model based on cloud-edge collaboration is introduced to ensure efficient operation of the system under dynamic workloads.To improve system elasticity and flexibility,a microservices architecture for the distribution network cloud platform is designed,splitting the system into independent microservices units for easier scalability and maintenance.Through case studies,the proposed distribution network cloud platform system based on cloud-edge collaboration and scalable microservices is validated for its ability to dynamically adjust to continuously changing grid conditions,ensuring Quality of Service(QoS)parameters while reducing costs.The results demonstrate that the model provides practical so-lutions for the intelligentization and sustainable development of power systems,addressing the management challenges brought about by the expansion of distribution networks and offering robust support for the optimization of future power systems.

cloud-edge collaborationdistribution network scalabilitydistribution network cloud platformsystem design

黄毅标、朱龙洋、汪逸帆、黄秋岑、杨朝赟、吴文庚

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国网福州供电公司,福建 福州 350005

云边协同 配网可伸缩 配网云平台 系统设计

2024

电子器件
东南大学

电子器件

CSTPCD
影响因子:0.569
ISSN:1005-9490
年,卷(期):2024.47(6)