US Ignite: Focus Area 1: SD2N: Software-Defined Urban Distribution Network for Smart Cities

US Ignite:重点领域 1:SD2N:智慧城市的软件定义城市配电网络

基本信息

  • 批准号:
    1647209
  • 负责人:
  • 金额:
    $ 60万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2017
  • 资助国家:
    美国
  • 起止时间:
    2017-01-01 至 2020-04-30
  • 项目状态:
    已结题

项目摘要

Urban areas, where more than 80% of US population lives and 80% of energy is consumed, are developing into smart, connected communities. At the heart of city infrastructures is the urban power distribution network, which supports various systems including government, safety, water, food, transportation, communication, and other functions vital to the lives and work of citizens. Current urban distribution networks were not designed for smart cities, and cannot sustain the ever-increasing demands from urban growth in the face of substantial increases in renewable generation and extreme weather-induced blackouts. Lack of a scalable and high-speed communication and computing infrastructure is a key bottleneck. This project will architect a novel Software-Defined Distribution Network (SD2N), a gigabit networking and computing platform to enable a sustainable and resilient electric power Internet for smart cities. SD2N will manage a vast number of smart grid devices, allow self-adaption, self-management and self-healing without costly hardware upgrades, and provide a sustainable, scalable and replicable smart city backbone infrastructure. The new architecture will illustrate how software-defined networking and distributed real-time computing can provide urban infrastructures with resilient, sustainable, human-centered, highly efficient and affordable service platforms for smart cities. The concepts and platform will have the potential to be applied across industry sectors, with significant benefits to municipalities, utilities, developers, and their stakeholders. The proposed SD2N platform will be demonstrated at US Ignite Summits, and the research results will be transferred to key stakeholders, communities and cities in collaboration with Eversource Energy and the Connecticut Center for Advanced Technology.The innovation of the project lies in integrating Internet of Things technologies, software-defined networking and real-time computing to establish a scalable SD2N architecture. It will combine a hybrid software-defined networking infrastructure and a distributed real-time computing framework with advanced optimization to enable self-configuration, scalable monitoring, real-time data streaming, processing, storage and feedback while tackling the stringent data availability and multi-latency requirements in managing urban distribution networks. The proposed SD2N architecture will enable coordinated economic dispatch of microgrids to significantly reduce their carbon footprints and total operation costs while supporting smooth, grid-friendly renewable energy penetration. It will also enable shared electricity services among connected communities, leading to resilient energy service for smart cities. An SD2N prototype, to be established in the University of Connecticut's innovative hardware-in-the-loop real-time test bed, will offer valuable resources for research communities, as well as the energy and IT industries.
美国80%以上的人口居住在城市地区,80%的能源消耗在城市地区,城市地区正在发展成为智能、互联的社区。城市基础设施的核心是城市配电网,它支持各种系统,包括政府、安全、水、食品、交通、通信和其他对公民生活和工作至关重要的功能。目前的城市配电网络不是为智能城市设计的,在可再生能源发电大幅增加和极端天气导致的停电的情况下,无法维持城市增长带来的日益增长的需求。缺乏可扩展的高速通信和计算基础设施是一个关键瓶颈。该项目将构建一个新颖的软件定义配电网络(SD2N),这是一个千兆网络和计算平台,为智能城市提供可持续和弹性的电力互联网。SD2N将管理大量的智能电网设备,无需昂贵的硬件升级即可实现自适应、自我管理和自我修复,并提供可持续、可扩展和可复制的智能城市骨干基础设施。新架构将展示软件定义的网络和分布式实时计算如何为城市基础设施提供弹性、可持续、以人为中心、高效和负担得起的智能城市服务平台。这些概念和平台将具有跨行业应用的潜力,为市政当局、公用事业公司、开发商及其利益攸关方带来重大好处。拟议的SD2N平台将在美国Ignite峰会上展示,研究成果将与Everource Energy和康涅狄格州先进技术中心合作转移到关键利益相关者、社区和城市。该项目的创新之处在于融合物联网技术、软件定义的联网和实时计算,建立可扩展的SD2N架构。它将结合软件定义的混合网络基础设施和具有高级优化的分布式实时计算框架,以实现自我配置、可扩展的监控、实时数据流、处理、存储和反馈,同时满足城市配电网管理中严格的数据可用性和多延迟要求。拟议的SD2N架构将实现微电网的协调经济调度,以显著减少其碳足迹和总运营成本,同时支持顺畅、对电网友好的可再生能源渗透。它还将实现互联社区之间的共享电力服务,为智能城市带来弹性能源服务。将在康涅狄格大学创新的硬件在环实时试验台上建立的SD2N原型将为研究界以及能源和IT行业提供宝贵的资源。

项目成果

期刊论文数量(22)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Formal Analysis of Networked Microgrids Dynamics
  • DOI:
    10.1109/tpwrs.2017.2780804
  • 发表时间:
    2018-05
  • 期刊:
  • 影响因子:
    6.6
  • 作者:
    Yan Li;Peng Zhang;P. Luh
  • 通讯作者:
    Yan Li;Peng Zhang;P. Luh
Distributed Formal Analysis for Power Networks With Deep Integration of Distributed Energy Resources
  • DOI:
    10.1109/tpwrs.2018.2875150
  • 发表时间:
    2019-11
  • 期刊:
  • 影响因子:
    6.6
  • 作者:
    Yan Li;Peng Zhang;M. Althoff;M. Yue
  • 通讯作者:
    Yan Li;Peng Zhang;M. Althoff;M. Yue
Active Fault Management for Microgrids
Ensuring Cyberattack-Resilient Load Forecasting with A Robust Statistical Method
  • DOI:
    10.1109/pesgm40551.2019.8973804
  • 发表时间:
    2019-08
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Jieying Jiao;Zefan Tang;Peng Zhang;M. Yue;Chen Chen-Chen;Jun Yan
  • 通讯作者:
    Jieying Jiao;Zefan Tang;Peng Zhang;M. Yue;Chen Chen-Chen;Jun Yan
Computationally Distributed and Asynchronous Operational Optimization of Droop-Controlled Networked Microgrids
下垂控制网络微电网的计算分布式异步运行优化
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Peng Zhang其他文献

Direct Observation of Axial Dynamics of Particle Manipulation With Weber Self-Accelerating Beams
用韦伯自加速梁直接观察粒子操纵的轴向动力学
  • DOI:
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    7.5
  • 作者:
    Sha An;Tong Peng;Shaohui Yan;Baoli Yao;Peng Zhang
  • 通讯作者:
    Peng Zhang
Deterioration of hematopoietic autophagy is linked to osteoporosis
造血自噬的恶化与骨质疏松症有关
  • DOI:
    10.1111/acel.13114
  • 发表时间:
    2020-03
  • 期刊:
  • 影响因子:
    7.8
  • 作者:
    Ye Yuan;Yixuan Fang;Lingjiang Zhu;Yue Gu;Lei Li;Jiawei Qian;Ruijin Zhao;Peng Zhang;Jian Li;Hui Zhang;Na Yuan;Suping Zhang;Qianhong Ma;Jianrong Wang;Youjia Xu
  • 通讯作者:
    Youjia Xu
Compiling Cross-Language Network Programs Into Hybrid Data Plane
将跨语言网络程序编译到混合数据平面中
  • DOI:
    10.1109/tnet.2021.3132303
  • 发表时间:
    2022-06
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Hao Li;Peng Zhang;Guangda Sun;Changhao Wu;Chengchen Hu;Danfeng Shan;Tian Pan;Qiang Fu
  • 通讯作者:
    Qiang Fu
A Novel Multi-feature Joint Learning Framework for Multi-label Facial Expression Recognition
一种新颖的多标签面部表情识别多特征联合学习框架
  • DOI:
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    3.9
  • 作者:
    Wanzhao Li;Mingyuan Luo;Peng Zhang;Wei Huang
  • 通讯作者:
    Wei Huang
A residual graph convolutional network for setting initial flow field in computational fluid dynamics simulations
用于在计算流体动力学模拟中设置初始流场的残差图卷积网络
  • DOI:
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Xiaoyuan Zhang;Guopeng Sun;Peng Zhang;Yueqing Wang;Jian Zhang;Liang Deng;Jie Lin;Jianqiang Chen
  • 通讯作者:
    Jianqiang Chen

Peng Zhang的其他文献

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{{ truncateString('Peng Zhang', 18)}}的其他基金

CAREER: Fine-Grained Complexity and Algorithms for Structured Linear Equations and Linear Programs
职业:结构化线性方程和线性程序的细粒度复杂性和算法
  • 批准号:
    2238682
  • 财政年份:
    2023
  • 资助金额:
    $ 60万
  • 项目类别:
    Continuing Grant
NSF Convergence Accelerator–Track D: AI-Grid: AI-Enabled, Provably Resilient, Programmable Networked Microgrids
NSF 融合加速器 - 轨道 D:人工智能网格:人工智能支持、可证明弹性、可编程网络微电网
  • 批准号:
    2134840
  • 财政年份:
    2021
  • 资助金额:
    $ 60万
  • 项目类别:
    Cooperative Agreement
CRII:SCH:RUI: A Digital Identity System for Accelerating Medical Communications within Rare Disease Communities
CRII:SC​​H:RUI:用于加速罕见疾病社区内医疗通信的数字身份系统
  • 批准号:
    2153232
  • 财政年份:
    2021
  • 资助金额:
    $ 60万
  • 项目类别:
    Standard Grant
CRII:SCH:RUI: A Digital Identity System for Accelerating Medical Communications within Rare Disease Communities
CRII:SC​​H:RUI:用于加速罕见疾病社区内医疗通信的数字身份系统
  • 批准号:
    2105145
  • 财政年份:
    2021
  • 资助金额:
    $ 60万
  • 项目类别:
    Standard Grant
NSF Convergence Accelerator-Track D: AI-Enabled Provably Resilient Networked Microgrids
NSF 融合加速器 - 轨道 D:人工智能支持的可证明弹性的网络微电网
  • 批准号:
    2040599
  • 财政年份:
    2020
  • 资助金额:
    $ 60万
  • 项目类别:
    Standard Grant
PFI-TT: Development of a visual sensor to non-invasively monitor biodegradable magnesium alloy implants for biomedical applications
PFI-TT:开发视觉传感器,以非侵入性方式监测生物医学应用中的可生物降解镁合金植入物
  • 批准号:
    2016475
  • 财政年份:
    2020
  • 资助金额:
    $ 60万
  • 项目类别:
    Standard Grant
SBIR Phase I: A Cloud-based, AI-enabled ECG Analysis Platform for More Efficient Arrhythmia Detection
SBIR 第一阶段:基于云、支持人工智能的心电图分析平台,可更有效地检测心律失常
  • 批准号:
    2025951
  • 财政年份:
    2020
  • 资助金额:
    $ 60万
  • 项目类别:
    Standard Grant
Enabling Reliable Networked Microgrids for Distribution Grid Resiliency
实现可靠的联网微电网,提高配电网的弹性
  • 批准号:
    2002897
  • 财政年份:
    2019
  • 资助金额:
    $ 60万
  • 项目类别:
    Standard Grant
US Ignite: Focus Area 1: SD2N: Software-Defined Urban Distribution Network for Smart Cities
US Ignite:重点领域 1:SD2N:智慧城市的软件定义城市配电网络
  • 批准号:
    2006828
  • 财政年份:
    2019
  • 资助金额:
    $ 60万
  • 项目类别:
    Standard Grant
SCC: Empowering Smart and Connecticut Communities through Programmable Community Microgrids
SCC:通过可编程社区微电网增强智能和康涅狄格社区的能力
  • 批准号:
    2018492
  • 财政年份:
    2019
  • 资助金额:
    $ 60万
  • 项目类别:
    Standard Grant

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