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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:风电-多级别控制、智能电网集成和实时数字仿真该奖项由2009年美国恢复和再投资法案(公共法律111-5)资助。目标:本研究的目标是研究实时建模和仿真的方法、新颖的控制结构和智能集成技术,以实现高渗透率的风电。该方法是:(1)从系统操作员、风电场调度中心和单个风电机组三个层面推导风电运行的多级协调控制和保护;(2)研究风电并网智能技术的应用;(3)建立一个可重构的风电仿真平台,对风能转换系统进行逼真、动态、实时的建模和仿真。具体地说,这项研究将为风力发电系统弹性和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电部署到未来的智能电网中,从而使我们的社会?S范式转向可再生能源。广泛影响:该项目将通过培训合格的劳动力和参与风力发电工程这一面临国际竞争的快速发展的领域,为社会和整个国家带来许多深远的好处。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带来风能利用的技术突破;推广和招聘活动将吸引更多的少数族裔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: