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ShanghaiTech University Knowledge Management System
Exploring Reconfiguration-Assisted Optimization Framework to Digital Power Supply System | |
2019-12 | |
会议录名称 | 2019 IEEE GLOBECOM WORKSHOPS (GC WKSHPS)
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页码 | 1-6 |
发表状态 | 已发表 |
DOI | 10.1109/GCWkshps45667.2019.9024514 |
摘要 | There is a growing interest around the world in supplying information and communications technologies (ICT) with digitalization energy to achieve fine-grained energy management for sustainable ICT. One of the most challenging topics is how to design a reliable and efficient digital power supply (DPS) system based on cyber- physical technology, which consists of physical power converter part, energy digitalization part and energy buffer matching part. Motivated by this open issue, we provide a theoretical basis for modeling and key designing metric to analyze the DPS system both for the 5G network and data center deployment in this paper. Firstly, we proposed an integrated reconfiguration-assisted converter optimization framework for DPS. Secondly, to achieve a much finer resolution of information and power flow, the dynamics of the reconfiguration is abstracted by the graph-based representation model mathematically. Finally, through prototype deployment, those design metrics are illustrated vividly under different implement scenario for 5G network and data center, which can also be further applied with renewable energy generation for green communications and data centers. |
关键词 | Topology Batteries Pulse width modulation Power supplies Data centers Optimization Measurement |
会议地点 | Waikoloa, HI, USA |
会议日期 | 9-13 Dec. 2019 |
URL | 查看原文 |
收录类别 | EI ; CPCI ; CPCI-S |
EI入藏号 | 20201308358757 |
EI主题词 | 5G mobile communication systems ; Electric load flow ; Flow graphs ; Graphic methods ; Green computing ; Queueing networks ; Renewable energy resources |
EI分类号 | Energy Resources and Renewable Energy Issues:525.1 ; Electric Power Systems:706.1 ; Combinatorial Mathematics, Includes Graph Theory, Set Theory:921.4 |
原始文献类型 | Conference article (CA) |
来源库 | IEEE |
引用统计 | 正在获取...
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文献类型 | 会议论文 |
条目标识符 | https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/114787 |
专题 | 科道书院 信息科学与技术学院_PI研究组_杨旸组 信息科学与技术学院_博士生 |
作者单位 | 1.ShanghaiTech University 2.Tsinghua University |
第一作者单位 | 上海科技大学 |
第一作者的第一单位 | 上海科技大学 |
推荐引用方式 GB/T 7714 | Yanglin Zhou,Lin Cheng,Yang Yang. Exploring Reconfiguration-Assisted Optimization Framework to Digital Power Supply System[C],2019:1-6. |
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