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CAREER: Wind Power - Multilevel Control, Intelligent Grid Integration and Real Time Digital Simulation

CAREER: Wind Power - Multilevel Control, Intelligent Grid Integration and Real Time Digital Simulation
职业:风力发电 - 多级控制、智能电网集成和实时数字仿真
批准号:
0844707
负责人:
Jie Cui
金额:
$40.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-09-01 至 2014-08-31

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中文摘要
翻译
职业:风能-多级控制,智能电网集成和实时数字模拟该奖项是根据2009年美国复苏和再投资法案(公法111-5)资助的。目的:本研究的目的是研究风电高渗透的实时建模和仿真方法,新型控制结构和智能集成技术。该方法是:(1)在系统操作员、风力发电厂调度中心和单个风力发电机的层面上对风力发电运行进行多级协调控制和保护;(2)研究智能技术在风电并网中的应用;(3)建立可重构风电仿真平台,对风能转换系统进行逼真、动态、实时的建模与仿真。智力优势:这项研究将在风能利用的新理论、控制算法和技术方面产生根本性的贡献。具体而言,该研究将为风电系统弹性可靠运行的关键问题提供解决方案。如果成功,我们及时的发现将促进大规模风力发电在未来智能电网中的部署,从而使我们的社会?美国向可再生能源的范式转变。更广泛的影响:该项目将为社会和整个国家带来许多深远的利益,通过培训合格的劳动力和参与风电工程的代表性不足的群体,这是一个面临国际竞争的快速发展的领域。通过该项目,与领先行业和国家可再生能源实验室的合作将为风能利用带来技术突破;推广和招聘活动将吸引更多的少数民族学生和年轻一代进入电力工程领域。电力工程界将受益于在主要期刊、会议、研讨会、互联网、短期课程和教程中广泛传播的研究成果。
英文摘要
CAREER: Wind Power - Multilevel Control, Intelligent Grid Integration and Real Time Digital SimulationThis award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).Objectives: The objective of this research is to investigate methodologies for real time modeling and simulation, novel control structures, and intelligent integration technologies for high penetration of wind power. The approach is to (1) derive multilevel coordinated control and protection for wind power operation at levels of a System Operator, a Wind Power Plant Dispatch Center, and individual Wind Turbine Generators; (2) investigate application of intelligent technologies for wind power grid integration; (3) establish a reconfigurable wind power simulation platform for realistic, dynamic, real-time modeling and simulation of wind energy conversion systems.Intellectual Merits: This research will yield fundamental contributions in terms of new theories, control algorithms, and technologies for wind energy utilization. Specifically, the research will provide solutions to key issues for resilient and reliable wind power system operation. If successful, our timely findings will facilitate the deployment of large-scale wind power into the future smart grid and thus enable our society?s paradigm shift to renewable energy resources.Broader Impacts: This project will yield many far-reaching benefits for society and the nation as a whole by training of well-qualified workforce and participation of underrepresented groups in wind power engineering, a rapidly evolving area faced with international competition. Through the project, collaborations with leading industries and the National Renewable Energy Laboratory will bring technological breakthroughs for wind energy utilization; outreach and recruiting activities will attract more minority students and the younger generation into the power engineering field. The power engineering community will benefit from broad-based dissemination of the research findings in leading journals, conferences, workshops, internet, short courses and tutorials.
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Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位: