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
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
中文摘要
职业:风力发电-多级控制,智能电网集成和真实的时间数字仿真这个奖项是根据2009年美国复苏和再投资法案(公法111-5)。目标:这项研究的目的是调查方法的真实的时间建模和仿真,新颖的控制结构和智能集成技术的高渗透率的风力发电。研究内容包括:(1)从系统运营商、风电场调度中心和单个涡轮机发电机三个层面,推导出风电运行的多级协调控制和保护方案;(2)研究智能技术在风电并网中的应用;(3)建立了可重构的风电仿真平台,本研究将为风能利用的新理论、新控制算法和新技术做出基础性贡献。具体而言,该研究将为风电系统的弹性和可靠运行提供关键问题的解决方案。如果成功的话,我们及时的发现将促进大规模风力发电的部署到未来的智能电网,从而使我们的社会?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,培训合格的劳动力,并使代表性不足的群体参与风力发电工程,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;外联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研究成果在领先期刊,会议,研讨会,互联网,短期课程和教程中的广泛传播。
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.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
国内基金
海外基金
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
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资助金额:40万元
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批准年份:2020
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负责人:Vikrant Gupta
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依托单位: