NeTS: Small: Collaborative Research: Scalability and Reliability for Network Communication Infrastructure in Smart Grid
NeTS:小型:协作研究:智能电网中网络通信基础设施的可扩展性和可靠性
基本信息
- 批准号:1423408
- 负责人:
- 金额:$ 22.55万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2014
- 资助国家:美国
- 起止时间:2014-10-01 至 2018-09-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
As the first major milestone and the fundamental step of the overall smart grid roadmap, an advanced metering infrastructure (AMI) is a system that senses, collects and analyzes data on energy usage and power quality from smart meters, and communicates with metering devices on request or on schedule. In spite of many recent research activities on smart grid communication infrastructure, scalability and reliability of communication architectures in smart grid AMI are still not well-addressed yet, even though they are two of the most important issues in this field. These have seriously hampered the development and deployment of effective communication technologies to smart grid field. Moreover, there is still a critical gap in the knowledge base to understand the interactions and the tradeoffs of scalability and reliability, and to design the best performance metrics in smart grid AMI.This project investigates the challenging issues of emerging communication network design in smart grid, and study scalability and reliability aspects and their interactions in AMI. The proposed research aims at analysis and design of scalable architectures for advanced metering infrastructures in the wide area network level, and designs reliable communications for energy efficient self-sustaining neighborhood area networks. The approaches include identifying and addressing the new challenges in the scalability and reliability design for smart grid communications with a large amount of data and different communication requirements, designing novel algorithms for optimal deployment of neighborhood area networks, and summarizing design strategies and principles for scalable and reliable end-to-end smart grid communications under various scenarios. This project introduces novel network design strategies and principles to achieve scalable and reliable network communication infrastructure that can handle a tremendous amount of AMI smart metering data in real-time. The research efforts conducted in this project will advance scientific understanding in the field of network communication infrastructure in smart grid, and have a significant impact on the design of scalable and reliable smart grid AMI systems. The outcomes of the project will foster the transition of our society into a more energy efficient and sustainable future. The project incorporates an education plan that engages underrepresented students.
作为整个智能电网路线图的第一个重要里程碑和基础步骤,高级计量基础设施(AMI)是一个系统,可以感知、收集和分析来自智能电表的能源使用和电能质量数据,并根据请求或按计划与计量设备进行通信。尽管最近有许多关于智能电网通信基础设施的研究活动,但智能电网AMI中通信架构的可扩展性和可靠性仍然没有得到很好的解决,尽管它们是该领域中最重要的两个问题。这些都严重阻碍了有效通信技术在智能电网领域的发展和部署。此外,还有一个关键的差距,在知识库,以了解的相互作用和权衡的可扩展性和可靠性,并设计最佳的性能指标在智能电网AMI.This项目调查新兴的通信网络设计的挑战性问题,并研究可扩展性和可靠性方面和它们的相互作用在智能电网AMI。拟议的研究旨在分析和设计广域网级别高级计量基础设施的可扩展架构,并为节能自我维持的邻里网络设计可靠的通信。针对数据量大、通信需求不同的智能电网通信在可扩展性和可靠性设计方面面临的新挑战,设计新的邻域网络优化部署算法,总结各种场景下可扩展、可靠的端到端智能电网通信的设计策略和原则。该项目引入了新颖的网络设计策略和原则,以实现可扩展和可靠的网络通信基础设施,可以实时处理大量的AMI智能计量数据。该项目的研究成果将推动智能电网网络通信基础设施领域的科学认识,并对可扩展和可靠的智能电网AMI系统的设计产生重大影响。该项目的成果将促进我们的社会过渡到一个更节能和可持续的未来。该项目纳入了一项教育计划,吸引代表性不足的学生。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Yi Qian其他文献
span style=font-family: ; Times= New= Roman?;font-size:12pt;?=Use of Computational Fluid Dynamics to Estimate Hemodynamic Effects of Respiration on Hypoplastic Left Heart Syndrome Surgery: Total Cavo
使用计算流体动力学来估计呼吸对左心发育不全综合征手术的血流动力学影响:Total Cavo
- DOI:
- 发表时间:
2013 - 期刊:
- 影响因子:0
- 作者:
Jinlong Liu;Yi Qian;Qi Sun;Jinfen Liu;Mitsuo Umezu - 通讯作者:
Mitsuo Umezu
Foundations of Trust and Distrust in Networks: Extended Structural Balance Theory
网络中信任与不信任的基础:扩展结构平衡理论
- DOI:
- 发表时间:
2014 - 期刊:
- 影响因子:0
- 作者:
Yi Qian;Sibel Adali - 通讯作者:
Sibel Adali
Preparation of pillared layered antimony hydroxide and its flame retardancy in thermoplastic polyurethane
柱撑层状氢氧化锑的制备及其在热塑性聚氨酯中的阻燃性能
- DOI:
10.1007/s10973-019-09028-4 - 发表时间:
2019-11 - 期刊:
- 影响因子:4.4
- 作者:
Yi Qian;Peng Qiao;Long Li;Haoyue Han;Rongmin Zhao;Haiming Zhang - 通讯作者:
Haiming Zhang
Joint Frame Design and Resource Allocation for Ultra-Reliable and Low-Latency Vehicular Networks
超可靠、低延迟车载网络的联合框架设计和资源分配
- DOI:
10.1109/twc.2020.2975576 - 发表时间:
2020-02 - 期刊:
- 影响因子:10.4
- 作者:
Haojun Yang;Kuan Zhang;Kan Zheng;Yi Qian - 通讯作者:
Yi Qian
Dynamic Facility Location in High Dimensional Euclidean Spaces
高维欧几里得空间中的动态设施定位
- DOI:
- 发表时间:
- 期刊:
- 影响因子:0
- 作者:
Sayan Bhattacharya;Gramoz Goranci;;Yi Qian;Yubo Zhang - 通讯作者:
Yubo Zhang
Yi Qian的其他文献
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{{ truncateString('Yi Qian', 18)}}的其他基金
Collaborative Research: IMR: MM-1B: Privacy-Preserving Data Sharing for Mobile Internet Measurement and Traffic Analytics
合作研究:IMR:MM-1B:移动互联网测量和流量分析的隐私保护数据共享
- 批准号:
2319486 - 财政年份:2023
- 资助金额:
$ 22.55万 - 项目类别:
Continuing Grant
Collaborative Research: Expedite CSI Processing with Lightweight AI in Massive MIMO Communication Systems
合作研究:在大规模 MIMO 通信系统中利用轻量级 AI 加速 CSI 处理
- 批准号:
2139520 - 财政年份:2022
- 资助金额:
$ 22.55万 - 项目类别:
Standard Grant
Collaborative Research: CNS Core: Small: Secure and Efficient Mobile Edge Computing in Wireless Heterogeneous Networks
合作研究: CNS 核心:小型:无线异构网络中安全高效的移动边缘计算
- 批准号:
2008145 - 财政年份:2020
- 资助金额:
$ 22.55万 - 项目类别:
Standard Grant
Collaborative Research: EARS: Spectrum and Energy Efficient Radio Resource Access in Wireless Networks with Densely Deployed Underlay Devices
合作研究:EARS:具有密集部署的底层设备的无线网络中的频谱和节能无线电资源访问
- 批准号:
1547330 - 财政年份:2015
- 资助金额:
$ 22.55万 - 项目类别:
Standard Grant
Collaborative Research: C-HetNet - Towards Spectrum and Energy Efficient Next Generation Wireless Access Networks
合作研究:C-HetNet - 迈向频谱和能源高效的下一代无线接入网络
- 批准号:
1307580 - 财政年份:2013
- 资助金额:
$ 22.55万 - 项目类别:
Continuing Grant
NeTS: Medium: AC-MWN: A Novel Architecture for Application-Aware Cognitive Multihop Wireless Networks
NeTS:媒介:AC-MWN:应用感知认知多跳无线网络的新颖架构
- 批准号:
1065069 - 财政年份:2011
- 资助金额:
$ 22.55万 - 项目类别:
Standard Grant
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2343619 - 财政年份:2024
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- 批准号:
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