高电压技术2024，Vol.50Issue(11)：5151-5163,13.DOI:10.13336/j.1003-6520.hve.20230115
基于云-边-端协同的区域级风电场大数据中心数据管理框架及优化运行方法
Data Management Framework and Operation Optimization Method for Regional Wind Farms Big Data Center Based on Cloud-edge-end Collaboration
摘要
Abstract
The big data center(BDC)of regional wind farms is faced with challenges such as proliferation of low opera-tional energy efficiency,poor interactivity,and duplication of resources,which makes it difficult to adapt to the demands of data processing for real-time,green computing in new power systems.This paper systematically sorted out the typical digital services and their sensitivity to computing power in wind farms.The spatial and temporal adjustable potentials of BDC loads are also analyzed.Then,a collaborative framework is constructed for data management,which decomposes wind farm big data management into three levels,including cloud,edge and end.The corresponding key technologies on data interaction,business execution,resource scheduling and quality governance are proposed.The experiments are per-formed to analyze the performance of the proposed architecture in terms of data transfer,storage and energy consumption.The results show that the proposed cloud-edge-end collaborative architecture can save 350%of storage capacity and re-duce 21.04%of server energy consumption for cloud servers in big data centers compared to traditional centralized architectures,which further verify the effectiveness and rationality of the proposed architecture.关键词
区域级风电场/大数据中心/数字化业务/云-边-端协同/数据管理架构/优化运行Key words
regional wind farms/big data center/digitalization business/cloud-edge-end collaboration/data management framework/operation optimization引用本文复制引用
张扬帆,王玙,李阳,沈小军,梁恺..基于云-边-端协同的区域级风电场大数据中心数据管理框架及优化运行方法[J].高电压技术,2024,50(11):5151-5163,13.基金项目
国家电网有限公司总部科技项目资助(风光储基地数字孪生建模与运行能效提升技术研究及示范)(000202114069A0000).Project supported by Science and Technology Project of SGCC(Research and Demonstration of Digital Twin Modeling and Operational Energy Effi-ciency Improvement Technology for Wind and Solar Energy Storage Bases)(4000202114069A0000). （风光储基地数字孪生建模与运行能效提升技术研究及示范）
