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:2006828
- 负责人:
- 金额:$ 30.2万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2019
- 资助国家:美国
- 起止时间:2019-09-01 至 2022-09-30
- 项目状态:已结题
- 来源:
- 关键词:
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.
城市地区有80%以上的美国人口寿命和80%的能源所消耗的城市地区正在发展为智能,互联社区。城市基础设施的核心是城市电源分销网络,该网络支持政府,安全,水,食品,交通,交通,交通和其他功能,对公民的生活和工作至关重要。当前的城市分销网络不是为智能城市设计的,面对可再生产生和极端天气引起的停电的大幅增长,无法维持城市增长的不断增长的需求。缺乏可扩展的高速通信和计算基础架构是关键的瓶颈。该项目将建立一个新颖的软件定义分销网络(SD2N),这是一个千兆网络和计算平台,可为智能城市提供可持续且有弹性的电力互联网。 SD2N将管理大量的智能网格设备,允许自动适应,自我管理和自我修复,而无需昂贵的硬件升级,并提供可持续,可扩展和可复制的智能城市骨干基础架构。新的体系结构将说明软件定义的网络和分布式实时计算如何为智能城市提供弹性,可持续性,以人为中心,高效且价格合理的服务平台为城市基础设施提供。这些概念和平台将有可能在行业领域应用,对市政当局,公用事业,开发商及其利益相关者产生重大好处。拟议的SD2N平台将在美国Ignite Summits上进行演示,研究结果将与Eversource Energy和Connecticut高级技术中心合作转移到主要的利益相关者,社区和城市。它将将混合软件定义的网络基础架构和分布式的实时计算框架与高级优化相结合,以实现自我配置,可扩展的监视,实时数据流,处理,存储,存储和反馈,同时解决管理Urban分布网络的严格数据可用性和多层次的需求。拟议的SD2N体系结构将使微电网的协调经济调度大大降低其碳足迹和总运行成本,同时支持光滑,易于友好的可再生能源渗透。它还将在连接的社区之间提供共享的电力服务,从而为智能城市提供弹性的能源服务。 SD2N原型将在康涅狄格大学的创新硬件实时测试床中建立,将为研究社区以及能源和IT行业提供宝贵的资源。
项目成果
期刊论文数量(12)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Distributed Networked Microgrids Power Flow
- DOI:10.1109/tpwrs.2022.3175933
- 发表时间:2023-03
- 期刊:
- 影响因子:6.6
- 作者:Fei Feng;Peng Zhang;Yifan Zhou;Lizhi Wang
- 通讯作者:Fei Feng;Peng Zhang;Yifan Zhou;Lizhi Wang
Cooperative fault management for resilient integration of renewable energy
- DOI:10.1016/j.epsr.2022.108147
- 发表时间:2022
- 期刊:
- 影响因子:3.9
- 作者:Wenfeng Wan;Peng Zhang;Mikhail A. Bragin;P. Luh
- 通讯作者:Wenfeng Wan;Peng Zhang;Mikhail A. Bragin;P. Luh
DA-AFM for Ultra PV and Wind Energy Integration
用于超级光伏和风能集成的 DA-AFM
- DOI:10.1109/pesgm46819.2021.9638175
- 发表时间:2021
- 期刊:
- 影响因子:0
- 作者:Wan, Wenfeng;Bragin, Mikhail A.;Luh, Peter B.;Zhang, Peng
- 通讯作者:Zhang, Peng
Programmable Adaptive Security Scanning for Networked Microgrids
- DOI:10.1016/j.eng.2021.06.007
- 发表时间:2021-06
- 期刊:
- 影响因子:12.8
- 作者:Zimin Jiang;Zefan Tang;Peng Zhang;Yanyuan Qin
- 通讯作者:Zimin Jiang;Zefan Tang;Peng Zhang;Yanyuan Qin
Push-Sum-Enabled Resilient Microgrid Control
- DOI:10.1109/tsg.2021.3058853
- 发表时间:2021-02
- 期刊:
- 影响因子:9.6
- 作者:P. Babahajiani;Lizhi Wang;Ji Liu;Peng Zhang
- 通讯作者:P. Babahajiani;Lizhi Wang;Ji Liu;Peng Zhang
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Peng Zhang其他文献
Support Relation Analysis for Objects in Multiple View RGB-D Images
支持多视图 RGB-D 图像中对象的关系分析
- DOI:
10.1007/978-3-030-56150-5_3 - 发表时间:
2019 - 期刊:
- 影响因子:0
- 作者:
Peng Zhang;X. Ge;Jochen Renz - 通讯作者:
Jochen Renz
A novel hybrid motion detection algorithm based on dynamic thresholding segmentation
- DOI:
10.1109/icct.2010.5688705 - 发表时间:
2010-01-01 - 期刊:
- 影响因子:0
- 作者:
Peng Zhang;Tie-Yong Cao;Tao Zhu - 通讯作者:
Tao Zhu
Enhance Collaboration in Diabetic Healthcare for Children using Multi-agent Systems
使用多代理系统加强儿童糖尿病医疗保健方面的合作
- DOI:
- 发表时间:
2008 - 期刊:
- 影响因子:0
- 作者:
Peng Zhang;B. Carlsson;S. Johansson - 通讯作者:
S. Johansson
A 2-stage D-band Power Amplifier with 7 dBm Output Power at 0.14 THz in a 0.13μm SiGe Technology
采用 0.13μm SiGe 技术、0.14 THz 时输出功率为 7 dBm 的 2 级 D 频段功率放大器
- DOI:
- 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
Peng Zhang;Lin He;Yu;Xiaohua Fan;Hao Gao - 通讯作者:
Hao Gao
Adsorption and diffusion of H 2 O molecule on the Be(0001) surface: A density-functional theory study
H 2 O分子在Be(0001)表面的吸附和扩散:密度泛函理论研究
- DOI:
- 发表时间:
2011 - 期刊:
- 影响因子:0
- 作者:
Shuangxi Wang;Peng Zhang;Jian Zhao;Shu;Ping Zhang - 通讯作者:
Ping Zhang
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:
$ 30.2万 - 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:
$ 30.2万 - 项目类别:
Cooperative Agreement
CRII:SCH:RUI: A Digital Identity System for Accelerating Medical Communications within Rare Disease Communities
CRII:SCH: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:
$ 30.2万 - 项目类别:
Standard Grant
CRII:SCH:RUI: A Digital Identity System for Accelerating Medical Communications within Rare Disease Communities
CRII:SCH: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:
$ 30.2万 - 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:
$ 30.2万 - 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:
$ 30.2万 - 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:
$ 30.2万 - 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:
$ 30.2万 - 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:
$ 30.2万 - 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:
1831811 - 财政年份:2018
- 资助金额:
$ 30.2万 - 项目类别:
Standard Grant
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