II-New: Modern Computing Infrastructure for Research and Education of Future Smart and Renewable Energy Systems
II-新:用于未来智能和可再生能源系统研究和教育的现代计算基础设施
基本信息
- 批准号:1059265
- 负责人:
- 金额:$ 47.57万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2011
- 资助国家:美国
- 起止时间:2011-04-01 至 2014-03-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Today's electric power grid is experiencing a significant transformation because of rapid developments in renewable energy and smart grid technologies. This transition inevitably demands significant transformative research on many rapidly arising issues while the operation, stability, and reliability of the existing power grid is not affected. This project supports the acquisition of a modern real-time hardware-in-the-loop (HIL) simulation system to advance smart grid and renewable energy technologies. The project will model smart grid components in a multi-disciplinary manner and investigate the interoperability characteristics of renewable energy sources, energy storage systems, and "smart" loads within a smart microgrid framework. The project will result in advanced computational technologies efficient for simulation-based study of both long- and short-term dynamics of future ?mixed system? and ?mixed signal? power grid configurations. At the same time, the project will examine how to integrate energy and intelligent-agent-based computing and communication systems within a decentralized electric power grid.The project will enhance the development of advanced technologies for the future smart power grid, reduce energy-related emissions, improve energy efficiency of all economic sectors, and strengthen the technological lead for the United States in the advanced computing and energy fields. The project will attract and retain more minority and female students to the computational energy system program and educate young engineers and scientists to meet the rapid developments in energy and cyber technology for the 21st century.
由于可再生能源和智能电网技术的快速发展,当今的电网正在经历重大变革。这种转变不可避免地要求对许多迅速出现的问题进行重大的变革性研究,同时不影响现有电网的运行、稳定性和可靠性。该项目支持收购现代实时硬件在环(HIL)仿真系统,以推进智能电网和可再生能源技术。该项目将以多学科的方式对智能电网组件进行建模,并研究智能微电网框架内可再生能源、储能系统和“智能”负载的互操作性特征。该项目将导致先进的计算技术有效的模拟为基础的研究长期和短期的动态未来?混合系统?然后呢?混合信号?电网配置。同时,该项目将研究如何将基于能源和智能代理的计算和通信系统集成到分散的电网中,该项目将促进未来智能电网的先进技术的开发,减少与能源有关的排放,提高所有经济部门的能源效率,并加强美国在先进计算和能源领域的技术领先地位。该项目将吸引和留住更多的少数民族和女性学生参加计算能源系统计划,并教育年轻的工程师和科学家,以满足能源和网络技术的快速发展,为21世纪世纪。
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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Shuhui Li其他文献
Quantitative Modeling and Decoupling Method for Assembly Deformation Analysis Considering Residual Stress from Manufacturing Process
考虑制造过程残余应力的装配变形分析定量建模与解耦方法
- DOI:
10.1061/(asce)as.1943-5525.0000400 - 发表时间:
2015-05 - 期刊:
- 影响因子:2.4
- 作者:
Lina Zhang;Hua Wang;Shuhui Li;Zhongqin Lin - 通讯作者:
Zhongqin Lin
An optimal trajectory planning method for path tracking of industrial robots
工业机器人路径跟踪的最优轨迹规划方法
- DOI:
10.1017/s0263574718001145 - 发表时间:
2018-10 - 期刊:
- 影响因子:2.7
- 作者:
Xianxi Luo;Shuhui Li;Shubo Liu;Guoquan Liu - 通讯作者:
Guoquan Liu
Dynamic P-Q Capability and Abnormal Operation Analysis of a Wind Turbine With Doubly Fed Induction Generator
双馈感应发电机风电机组的动态P-Q能力及异常运行分析
- DOI:
10.1109/jestpe.2021.3133527 - 发表时间:
2022 - 期刊:
- 影响因子:5.5
- 作者:
Bing Lu;Shuhui Li;H. Das;Yixiang Gao;Jing Wang;M. Baggu - 通讯作者:
M. Baggu
Design of Logarithmic-Index Fiber for Orbital Angular Momentum (OAM)Transmission
用于轨道角动量(OAM)传输的对数折射率光纤设计
- DOI:
10.1364/cleopr.2018.w3a.100 - 发表时间:
2018 - 期刊:
- 影响因子:0
- 作者:
Pei;Shuhui Li;Zhe Xu;Ruixuan Zhao;L. Shen;Jian Wang - 通讯作者:
Jian Wang
Demonstration of a Visible-Light Communication Link Employing High-Base Vector Beam Modulation/Demodulation
采用高基矢量光束调制/解调的可见光通信链路演示
- DOI:
10.1364/acpc.2014.af4b.8 - 发表时间:
2014 - 期刊:
- 影响因子:0
- 作者:
Yifan Zhao;Jing Du;Shuhui Li;Jun Liu;Long Zhu;Jian Wang - 通讯作者:
Jian Wang
Shuhui Li的其他文献
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{{ truncateString('Shuhui Li', 18)}}的其他基金
PFI-RP: Development of Novel Inverter Technologies and Prototypes for Enhanced Power Generation from Renewable Energy Resources
PFI-RP:开发新型逆变器技术和原型以增强可再生能源发电
- 批准号:
2141067 - 财政年份:2022
- 资助金额:
$ 47.57万 - 项目类别:
Standard Grant
I-Corps: Approximate Dynamic Programming and Artificial Neural Network Control for Microgrids
I-Corps:微电网的近似动态规划和人工神经网络控制
- 批准号:
1744159 - 财政年份:2017
- 资助金额:
$ 47.57万 - 项目类别:
Standard Grant
PFI:AIR - TT: Toward Commercialization: Development of Neural Network Control and Power Converter Prototype for Renewables and Smart Grid Integration
PFI:AIR - TT:迈向商业化:开发用于可再生能源和智能电网集成的神经网络控制和电源转换器原型
- 批准号:
1414379 - 财政年份:2014
- 资助金额:
$ 47.57万 - 项目类别:
Standard Grant
Collaborative Research: Wind Power - Neural Network Control, Multidisciplinary Integration, and Advanced Simulation
合作研究:风电-神经网络控制、多学科集成和高级仿真
- 批准号:
1102038 - 财政年份:2011
- 资助金额:
$ 47.57万 - 项目类别:
Standard Grant
Course Restructuring and Laboratory Development in Power Electronics and Electric Drives
电力电子与电力驱动课程重组与实验室建设
- 批准号:
0311145 - 财政年份:2003
- 资助金额:
$ 47.57万 - 项目类别:
Standard Grant
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